Triple
T22531140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sète |
E557037
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Gare de Sète |
—
|
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 Sète | Statement: [Sète, hasRailwayStation, Gare de Sète]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Sète Context triple: [Sète, hasRailwayStation, Gare de Sète]
-
A.
Gare de Foix
Gare de Foix is the main railway station serving the town of Foix in the Ariège department of southwestern France, providing regional train connections.
-
B.
Sète station
chosen
Sète station is a major railway station in the coastal city of Sète in southern France, serving as an important regional and long-distance rail hub.
-
C.
Gare de Rodez
Gare de Rodez is the main railway station serving the town of Rodez in southern France, providing regional and intercity train connections.
-
D.
Gare de Tulle
Gare de Tulle is the main railway station serving the town of Tulle in the Corrèze department of south-central France, providing regional train connections.
-
E.
Gare de Guéret
Gare de Guéret is the main railway station serving the town of Guéret in the Creuse department of central France, providing regional train connections to surrounding cities.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.