Triple
T1514479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Episcopal Diocese of New Jersey |
E32087
|
entity |
| Predicate | hasCongregations |
P26859
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Episcopal Diocese of New Jersey, hasCongregations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCongregations Context triple: [Episcopal Diocese of New Jersey, hasCongregations, yes]
-
A.
hasCongregation
chosen
Indicates that an entity is associated with or serves as the gathering place or organized group of worshippers for a religious community.
-
B.
establishedAsCongregationBy
Indicates that an entity was formally created or organized as a congregation by another specified agent or authority.
-
C.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
D.
hasMemberChurch
Indicates that a particular church is a constituent member of a larger religious organization, denomination, or church body.
-
E.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.