Triple
T10752581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commission for Building Fifty New Churches |
E253607
|
entity |
| Predicate | numberOfChurchesCompleted |
P12144
|
FINISHED |
| Object | about 12 |
—
|
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: about 12 | Statement: [Commission for Building Fifty New Churches, numberOfChurchesCompleted, about 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChurchesCompleted Context triple: [Commission for Building Fifty New Churches, numberOfChurchesCompleted, about 12]
-
A.
hasNumberOfChurches
chosen
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
churchConstructionCompleted
Indicates that the process of building or constructing a church has been finished.
-
C.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
D.
mainChurchBuilt
Indicates that the primary church associated with an entity was constructed or established at a particular time or by a particular agent.
-
E.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.