Triple
T9353994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathédrale Notre-Dame de la Nativité de Vence |
E225087
|
entity |
| Predicate | hasBellTowerFunction |
P2495
|
FINISHED |
| Object | campanile |
—
|
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: campanile | Statement: [Cathédrale Notre-Dame de la Nativité de Vence, hasBellTowerFunction, campanile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBellTowerFunction Context triple: [Cathédrale Notre-Dame de la Nativité de Vence, hasBellTowerFunction, campanile]
-
A.
hasBellTower
chosen
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
B.
hasClockTower
Indicates that one entity possesses or features a clock tower as part of its structure or property.
-
C.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
D.
bellTowerStyle
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
E.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f96c9a8819091bf63909bdcdf91 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.