Triple
T17427379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charleroi Metro |
E423773
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Villette station |
—
|
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: Villette station | Statement: [Charleroi Metro, hasStation, Villette station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villette station Context triple: [Charleroi Metro, hasStation, Villette station]
-
A.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
B.
Parc station
Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
-
C.
Parc station
chosen
Parc station is a metro stop on the Charleroi Metro network in Charleroi, Belgium.
-
D.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
E.
Henri Fréville station
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fdc1348190985db52c8c74c394 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.