Triple
T35053416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collégiale Notre-Dame-et-Saint-Nicolas de Briançon |
E1011394
|
entity |
| Predicate | isInFortifiedTown |
P182052
|
FINISHED |
| Object | Briançon |
—
|
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: Briançon | Statement: [Collégiale Notre-Dame-et-Saint-Nicolas de Briançon, isInFortifiedTown, Briançon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInFortifiedTown Context triple: [Collégiale Notre-Dame-et-Saint-Nicolas de Briançon, isInFortifiedTown, Briançon]
-
A.
isFortifiedCity
Indicates that a city is strengthened with defensive structures or fortifications, such as walls, ramparts, or similar protective works.
-
B.
isFortifiedWith
Indicates that one entity has been strengthened, enriched, or supplemented by the addition of another entity.
-
C.
locatedInFortress
Indicates that an entity is situated within the boundaries or interior of a fortress.
-
D.
hasFortificationNearby
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
-
E.
isFortifiedStructureOf
Indicates that one entity is a defensive or fortified structure that protects, encloses, or is associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.