Triple
T21253747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantes–Clisson railway |
E523810
|
entity |
| Predicate | hasEndpointStation |
P34947
|
FINISHED |
| Object | Gare de Nantes |
—
|
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 Nantes | Statement: [Nantes–Clisson railway, hasEndpointStation, Gare de Nantes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Nantes Context triple: [Nantes–Clisson railway, hasEndpointStation, Gare de Nantes]
-
A.
Gare de Nantes
chosen
Gare de Nantes is the main railway station serving the city of Nantes in western France, providing regional and high-speed train connections.
-
B.
Gare de Tours
Gare de Tours is the main railway station serving the city of Tours in central France, acting as a regional and intercity transport hub.
-
C.
Clermont-Ferrand station
Clermont-Ferrand station is the main railway station serving the city of Clermont-Ferrand in central France, acting as a key regional hub for passenger rail services.
-
D.
Gare de Sens
Gare de Sens is the main railway station serving the town of Sens in north-central France, providing regional and intercity train connections.
-
E.
Lyon station
Lyon station is an underground light rail transit station in downtown Ottawa, Canada, serving the city’s O-Train Confederation Line.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0391881908e45909e939415a5 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.