Triple
T16797270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Fayet |
E408265
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Le Fayet station |
E1244165
|
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: Le Fayet station | Statement: [Le Fayet, hasRailwayStation, Le Fayet station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Fayet station Context triple: [Le Fayet, hasRailwayStation, Le Fayet station]
-
A.
Le Fayet station
chosen
Le Fayet station is a railway terminus in Saint-Gervais-les-Bains, France, serving as a key gateway to mountain railways and resorts in the Mont Blanc region.
-
B.
Malesherbes station
Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
-
C.
Malesherbes station
Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
-
D.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
E.
Boussy-Saint-Antoine station
Boussy-Saint-Antoine station is a suburban railway station in the southeastern outskirts of Paris, serving the communes of Boussy-Saint-Antoine and Quincy-sous-Sénart on the RER D line.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ab08e8819097072a23c4a62392 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e5f5988190a87b62d32bfb32fa |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:22 a.m.