Triple
T4497394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francilienne |
E100732
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
|
E446387
|
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: N104 | Statement: [Francilienne, roadNumber, N104]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N104 Context triple: [Francilienne, roadNumber, N104]
-
A.
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
N1
N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
-
D.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- 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: N104 Triple: [Francilienne, roadNumber, N104]
Generated description
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N104 Target entity description: N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
-
A.
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
N1
N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
-
D.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67c4e7c88190b9b9cab49444b515 |
completed | March 20, 2026, 3:29 p.m. |
| NEDg | Description generation | batch_69bd683417b08190bc4e08638a30c0ec |
completed | March 20, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd68b4681c8190abb170ccb054cd05 |
completed | March 20, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1 p.m.