Triple
T1394237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Episcopal Diocese of Albany |
E30628
|
entity |
| Predicate | numberOfCongregations |
P12144
|
FINISHED |
| Object | approximately 100 |
—
|
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 100 | Statement: [Episcopal Diocese of Albany, numberOfCongregations, approximately 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCongregations Context triple: [Episcopal Diocese of Albany, numberOfCongregations, approximately 100]
-
A.
hasNumberOfChurches
chosen
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
-
C.
establishedAsCongregationBy
Indicates that an entity was formally created or organized as a congregation by another specified agent or authority.
-
D.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
E.
majorRegionOfWorship
Indicates the primary geographic region where a deity, religion, or cult is predominantly worshipped.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37e60388190a8efcb345be7a1b9 |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.