Triple
T10992688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic dioceses |
E259787
|
entity |
| Predicate | hasKeyOfficer |
P4012
|
FINISHED |
| Object | vicar general |
—
|
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: vicar general | Statement: [Roman Catholic dioceses, hasKeyOfficer, vicar general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyOfficer Context triple: [Roman Catholic dioceses, hasKeyOfficer, vicar general]
-
A.
isOfficerOf
chosen
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
B.
hasJudicialOfficer
Indicates that an entity is associated with or served by a specific judicial officer (such as a judge or magistrate) responsible for legal or court-related functions.
-
C.
hasKeyAgency
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
-
D.
hasKeyOrganization
Indicates that an entity is associated with or primarily represented by a main or primary organization.
-
E.
hasOfficeHolderType
Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d32f9081909def643571499521 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.