Triple
T1514519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presbyterian Church in America |
E32088
|
entity |
| Predicate | ordinationPolicy |
P29949
|
FINISHED |
| Object | does not ordain women as teaching elders |
—
|
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: does not ordain women as teaching elders | Statement: [Presbyterian Church in America, ordinationPolicy, does not ordain women as teaching elders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinationPolicy Context triple: [Presbyterian Church in America, ordinationPolicy, does not ordain women as teaching elders]
-
A.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
B.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
-
C.
ordination
Indicates the formal conferral of religious authority or office upon a person within a religious tradition.
-
D.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
E.
gradingPolicy
Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a9396d3e1081909aa269b42041c357 |
completed | March 5, 2026, 8:06 a.m. |
Created at: March 4, 2026, 7:26 p.m.