Triple
T10044938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château-Vieux |
E207590
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Château-Neuf (Bayonne) |
E217674
|
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: Château-Neuf (Bayonne) | Statement: [Château-Vieux, locatedNear, Château-Neuf (Bayonne)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Château-Neuf (Bayonne) Context triple: [Château-Vieux, locatedNear, Château-Neuf (Bayonne)]
-
A.
Château Neuf de Bayonne
Château Neuf de Bayonne is a historic French château associated with the city of Bayonne in southwestern France.
-
B.
Château-Neuf
chosen
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
C.
Aire-sur-l’Adour
Aire-sur-l’Adour is a historic town in southwestern France, known as an important Gallo-Roman and medieval center in Gascony.
-
D.
Lamballe
Lamballe is a historic town in the Côtes-d'Armor department of Brittany in northwestern France, known for its medieval architecture and equestrian tradition.
-
E.
Castelnaudary
Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf62ecf081909c055171b78a883a |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282801c548190b6031bdde17f6e14 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:56 p.m.