Triple
T3865238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-d'Oise |
E91834
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gare d'Argenteuil |
E354230
|
NE FINISHED |
How this triple was built (2 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: Gare d'Argenteuil | Statement: [Val-d'Oise, contains, Gare d'Argenteuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare d'Argenteuil Context triple: [Val-d'Oise, contains, Gare d'Argenteuil]
-
A.
Gare d'Argenteuil
chosen
Gare d'Argenteuil is a railway station in the Parisian suburb of Argenteuil, serving regional commuter trains within the Île-de-France network.
-
B.
Gare de Javel
Gare de Javel is a Parisian commuter rail station in the 15th arrondissement that serves local and regional passengers along the Seine.
-
C.
Gare de Saint-Cloud
Gare de Saint-Cloud is a railway station in the western suburbs of Paris, France, serving the town of Saint-Cloud on the Transilien commuter rail network.
-
D.
Gare de Villeneuve-Saint-Georges
Gare de Villeneuve-Saint-Georges is a suburban railway station in the southeastern outskirts of Paris, France, serving as a key commuter hub on the RER D line and other regional rail services.
-
E.
Gare Montparnasse
Gare Montparnasse is one of Paris’s major railway terminals, serving primarily southwestern France and known for its modern complex and historic 1895 train crash.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb809c4c6c8190abeb7a5bad4fab67 |
completed | March 19, 2026, 4:50 a.m. |
Created at: March 9, 2026, 3:19 p.m.