Triple
T6655342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Friars Minor Conventual |
E150926
|
entity |
| Predicate | isClericalInstitute |
P20630
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Order of Friars Minor Conventual, isClericalInstitute, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isClericalInstitute Context triple: [Order of Friars Minor Conventual, isClericalInstitute, true]
-
A.
isClericIn
Indicates that an entity serves or functions as a cleric within a specified organization, location, or group.
-
B.
hasClericalFunction
Indicates that an entity performs, is responsible for, or is associated with a clerical or administrative function.
-
C.
isClericalBodyFor
Indicates that one entity functions as the official clerical or administrative body responsible for serving, supporting, or governing another entity.
-
D.
hasInstitutionalCharacter
chosen
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
E.
isAcademicCenter
Indicates that an entity functions as an academic center, typically serving as a hub for education, research, or scholarly activities within an institution.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.