Triple
T18580202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Étienne d’Agde Cathedral |
E454090
|
entity |
| Predicate | bellTowerCharacteristic |
P132657
|
FINISHED |
| Object | prominent over the town |
—
|
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: prominent over the town | Statement: [Saint-Étienne d’Agde Cathedral, bellTowerCharacteristic, prominent over the town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bellTowerCharacteristic Context triple: [Saint-Étienne d’Agde Cathedral, bellTowerCharacteristic, prominent over the town]
-
A.
bellTowerStyle
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
B.
bellTowerCompletionDate
Indicates the date on which a bell tower was completed or finished being constructed.
-
C.
bellFoundry
Indicates that an entity operates as a foundry where bells are manufactured or cast.
-
D.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
E.
hasBellChamber
Indicates that an entity possesses or includes a bell chamber as one of its structural or functional components.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.