Triple
T25579421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Pierre Abbey (Moissac) |
E641198
|
entity |
| Predicate | hasNumberOfCloisterCapitals |
P167264
|
FINISHED |
| Object | approximately 76 |
—
|
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: approximately 76 | Statement: [Saint-Pierre Abbey (Moissac), hasNumberOfCloisterCapitals, approximately 76]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCloisterCapitals Context triple: [Saint-Pierre Abbey (Moissac), hasNumberOfCloisterCapitals, approximately 76]
-
A.
hasNumberOfPalaces
Indicates the specific count of palaces associated with an entity.
-
B.
hasCloisterWalls
Indicates that something possesses or is surrounded by cloister walls as an architectural feature.
-
C.
hasCloisterFromCentury
Indicates that an entity possesses a cloister that dates from, or was constructed in, a specified century.
-
D.
hasCathedralTown
Indicates that a given town is recognized as having a cathedral, typically serving as the seat of a bishop or central church authority.
-
E.
hasCoCathedral
Indicates that a primary cathedral is associated with an additional church that shares its status and functions as a co-cathedral within the same diocese or ecclesiastical jurisdiction.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 21, 2026, 4:04 p.m.