Triple
T597266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Deacon |
E11413
|
entity |
| Predicate | isElectedOrAppointed |
P11399
|
FINISHED |
| Object | appointed in many jurisdictions |
—
|
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: appointed in many jurisdictions | Statement: [Senior Deacon, isElectedOrAppointed, appointed in many jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectedOrAppointed Context triple: [Senior Deacon, isElectedOrAppointed, appointed in many jurisdictions]
-
A.
appointedOrElected
chosen
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
-
B.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
C.
isElectedBody
Indicates that an entity is a formal decision-making group whose members attain their positions through an election process.
-
D.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
E.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc4f7d08190990f70b9b3af6ce5 |
completed | March 1, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69a49cf59cd0819084e67981cb371e25 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.