Triple
T10752580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commission for Building Fifty New Churches |
E253607
|
entity |
| Predicate | numberOfChurchesPlanned |
P12144
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Commission for Building Fifty New Churches, numberOfChurchesPlanned, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChurchesPlanned Context triple: [Commission for Building Fifty New Churches, numberOfChurchesPlanned, 50]
-
A.
hasNumberOfChurches
chosen
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
C.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
D.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
-
E.
numberOfSynods
Indicates the count of synods associated with or held by 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.