Triple
T663210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice Cathedral |
E12801
|
entity |
| Predicate | numberOfChapels |
P16477
|
FINISHED |
| Object | several side chapels |
—
|
LITERAL 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: several side chapels | Statement: [Nice Cathedral, numberOfChapels, several side chapels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChapels Context triple: [Nice Cathedral, numberOfChapels, several side chapels]
-
A.
hasChapelCountApprox
chosen
Indicates an approximate number of chapels associated with an entity.
-
B.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
C.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
-
D.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
E.
hasCathedralChapter
Indicates that an ecclesiastical jurisdiction or church possesses or is served by a cathedral chapter as its governing or advisory body.
- F. None of above.
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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.