Triple
T29918825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Methodist annual conferences |
E759864
|
entity |
| Predicate | examine |
P111372
|
FINISHED |
| Object | candidates for ordained ministry |
—
|
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: candidates for ordained ministry | Statement: [United Methodist annual conferences, examine, candidates for ordained ministry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examine Context triple: [United Methodist annual conferences, examine, candidates for ordained ministry]
-
A.
investigate
chosen
Indicates that one entity systematically examines, studies, or inquires into another entity or situation to uncover facts or gain understanding.
-
B.
workExamined
Indicates that one entity has examined, reviewed, or studied the work produced by another entity.
-
C.
exam
Indicates that an entity administers, takes, or is associated with a formal test or assessment of knowledge, skills, or performance.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
exposes
Indicates making something visible, known, or vulnerable by removing cover, concealment, or protection.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6779140408190987216918cfaf0cb |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:13 p.m.