Triple
T14302564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris-Est |
E354604
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Institut français des sciences et technologies des transports, de l’aménagement et des réseaux
The Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR) is a French public research institute specializing in transportation systems, infrastructure, urban planning, and network technologies.
|
E1091555
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Institut français des sciences et technologies des transports, de l’aménagement et des réseaux | Statement: [Université Paris-Est, hasMember, Institut français des sciences et technologies des transports, de l’aménagement et des réseaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institut français des sciences et technologies des transports, de l’aménagement et des réseaux Context triple: [Université Paris-Est, hasMember, Institut français des sciences et technologies des transports, de l’aménagement et des réseaux]
-
A.
Institut Mines-Télécom
Institut Mines-Télécom is a leading French public institution of higher education and research specializing in engineering, digital technologies, and management, uniting several prestigious grandes écoles.
-
B.
IUT (Institut universitaire de technologie)
IUT (Institut universitaire de technologie) is a French public higher education institution offering short, professionally oriented university degrees in various technological and vocational fields.
-
C.
Corps des ponts et chaussées
The Corps des ponts et chaussées is a historic French civil engineering corps responsible for the design, construction, and maintenance of the nation’s infrastructure, including roads, bridges, and waterways.
-
D.
École des Ponts et Chaussées
École des Ponts et Chaussées is one of France’s oldest and most prestigious engineering schools, renowned for training civil engineers and leaders in infrastructure, transportation, and environmental engineering.
-
E.
Ponts et Chaussées
Ponts et Chaussées is a prestigious French engineering school renowned for training civil engineers and leaders in infrastructure, transportation, and environmental engineering.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Institut français des sciences et technologies des transports, de l’aménagement et des réseaux Triple: [Université Paris-Est, hasMember, Institut français des sciences et technologies des transports, de l’aménagement et des réseaux]
Generated description
The Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR) is a French public research institute specializing in transportation systems, infrastructure, urban planning, and network technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institut français des sciences et technologies des transports, de l’aménagement et des réseaux Target entity description: The Institut français des sciences et technologies des transports, de l’aménagement et des réseaux (IFSTTAR) is a French public research institute specializing in transportation systems, infrastructure, urban planning, and network technologies.
-
A.
Institut Mines-Télécom
Institut Mines-Télécom is a leading French public institution of higher education and research specializing in engineering, digital technologies, and management, uniting several prestigious grandes écoles.
-
B.
IUT (Institut universitaire de technologie)
IUT (Institut universitaire de technologie) is a French public higher education institution offering short, professionally oriented university degrees in various technological and vocational fields.
-
C.
Corps des ponts et chaussées
The Corps des ponts et chaussées is a historic French civil engineering corps responsible for the design, construction, and maintenance of the nation’s infrastructure, including roads, bridges, and waterways.
-
D.
École des Ponts et Chaussées
École des Ponts et Chaussées is one of France’s oldest and most prestigious engineering schools, renowned for training civil engineers and leaders in infrastructure, transportation, and environmental engineering.
-
E.
Ponts et Chaussées
Ponts et Chaussées is a prestigious French engineering school renowned for training civil engineers and leaders in infrastructure, transportation, and environmental engineering.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3dc46b408190b7c515156f81f1fc |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3eb045488190b44812eb638807ff |
completed | May 8, 2026, 1:38 a.m. |
Created at: April 10, 2026, 1:12 a.m.