Triple
T19008186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JAV |
E465146
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Gare de Javel |
—
|
NE NERFINISHED |
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 de Javel | Statement: [JAV, refersTo, Gare de Javel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Javel Context triple: [JAV, refersTo, Gare de Javel]
-
A.
Gare de Javel
chosen
Gare de Javel is a Parisian commuter rail station in the 15th arrondissement that serves local and regional passengers along the Seine.
-
B.
Gare de Colombes
Gare de Colombes is a suburban railway station in Colombes, France, serving regional commuter trains in the Paris metropolitan area.
-
C.
Gare de Trappes
Gare de Trappes is a suburban railway station in the town of Trappes, France, serving regional commuter and local train services in the Île-de-France area.
-
D.
Gare d'Argenteuil
Gare d'Argenteuil is a railway station in the Parisian suburb of Argenteuil, serving regional commuter trains within the Île-de-France network.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a623c481908d22c9bfad9e2939 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.