Triple
T18823160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gros-Caillou |
E460313
|
entity |
| Predicate | hasNearbyStation |
P5648
|
FINISHED |
| Object | Alma–Marceau 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: Alma–Marceau station | Statement: [Gros-Caillou, hasNearbyStation, Alma–Marceau station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma–Marceau station Context triple: [Gros-Caillou, hasNearbyStation, Alma–Marceau station]
-
A.
Alma–Marceau station
chosen
Alma–Marceau station is a Paris Métro station on Line 9 located near the Pont de l'Alma and the Flame of Liberty monument in the 8th arrondissement.
-
B.
Henri Fréville station
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
-
C.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
D.
Beaurepaire station
Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
-
E.
Richard-Lenoir station
Richard-Lenoir station is a Paris Métro station on Line 5 located in the 11th arrondissement of Paris, France.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bbc7148190819252071a765975 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.