Triple
T17458459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ Episcopal Church (Cooperstown, New York) |
E425090
|
entity |
| Predicate | primaryDenominationalIdentity |
P83342
|
FINISHED |
| Object | Episcopal |
—
|
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: Episcopal | Statement: [Christ Episcopal Church (Cooperstown, New York), primaryDenominationalIdentity, Episcopal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDenominationalIdentity Context triple: [Christ Episcopal Church (Cooperstown, New York), primaryDenominationalIdentity, Episcopal]
-
A.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
B.
denominationalCharacter
chosen
Indicates the specific religious denomination or sect with which an entity is affiliated or characterized.
-
C.
mainFaith
Indicates that one entity is the primary or predominant religious belief or faith tradition associated with another entity.
-
D.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
E.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4514385e48190b97a257bb3d07d2d |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.