Triple
T6818344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dourdan |
E156828
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Dourdan railway station |
E94498
|
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: Dourdan railway station | Statement: [Dourdan, servedBy, Dourdan railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dourdan railway station Context triple: [Dourdan, servedBy, Dourdan railway station]
-
A.
Dourdan station
chosen
Dourdan station is a railway terminus in the southern suburbs of Paris, serving as one end of the RER C commuter rail line.
-
B.
Dreux station
Dreux station is a railway station in Dreux, France, serving regional passenger trains and connecting the town to the wider Parisian rail network.
-
C.
Dijon-Ville railway station
Dijon-Ville railway station is the main train station in Dijon, France, serving as a key regional and national hub for high-speed and conventional rail services.
-
D.
Marmande station
Marmande station is a railway station in Marmande, France, serving regional and intercity train services in the Nouvelle-Aquitaine region.
-
E.
Goussainville station
Goussainville station is a railway station in Goussainville, France, serving as a stop on the Paris regional commuter rail network.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d355b52081909f037cec76bdccf6 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e458d881909fcea55915514eb1 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.