Triple
T3729772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumière University Lyon 2 |
E79033
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Lyon 2
Lyon 2 is a French public university in Lyon known for its strong focus on humanities and social sciences.
|
E383864
|
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: Lyon 2 | Statement: [Lumière University Lyon 2, shortName, Lyon 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyon 2 Context triple: [Lumière University Lyon 2, shortName, Lyon 2]
-
A.
London–Lyon
London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
-
B.
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
-
C.
Pont Maréchal-Leclerc
Pont Maréchal-Leclerc is a principal road bridge spanning the Seine in the town of Melun, France.
-
D.
Lyon
Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
-
E.
Montlhéry
Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
- 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: Lyon 2 Triple: [Lumière University Lyon 2, shortName, Lyon 2]
Generated description
Lyon 2 is a French public university in Lyon known for its strong focus on humanities and social sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyon 2 Target entity description: Lyon 2 is a French public university in Lyon known for its strong focus on humanities and social sciences.
-
A.
London–Lyon
London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
-
B.
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
-
C.
Pont Maréchal-Leclerc
Pont Maréchal-Leclerc is a principal road bridge spanning the Seine in the town of Melun, France.
-
D.
Lyon
Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
-
E.
Montlhéry
Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb1bb5408190990ea4dfbdab5c68 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db13d34881909fa74c682184b797 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dbded2c8819084c26ae2ec1c19b3 |
completed | March 14, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc9b80f8819083074657a32798a4 |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:34 p.m.