Triple
T13856116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nationale |
E333067
|
entity |
| Predicate | hasNeighbouringStation |
P41425
|
FINISHED |
| Object | Chevaleret |
E333068
|
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: Chevaleret | Statement: [Nationale, hasNeighbouringStation, Chevaleret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chevaleret Context triple: [Nationale, hasNeighbouringStation, Chevaleret]
-
A.
Chevaleret
chosen
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
-
B.
Chevalle
Chevalle is a pirate lord from the Pirates of the Caribbean universe, serving as one of the members of the Brethren Court.
-
C.
Montjoie
Montjoie is a historic town in western Germany, now known as Monschau, noted for its well-preserved medieval architecture in the Eifel region.
-
D.
Champtercier
Champtercier is a small commune in southeastern France, known as the birthplace of the 17th-century philosopher and scientist Pierre Gassendi.
-
E.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70a59e8819090b750699993a107 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:14 p.m.