Triple
T193396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of the Virgin Islands |
E3766
|
entity |
| Predicate | hasLeadershipRole |
P3459
|
FINISHED |
| Object | diocesan bishop |
—
|
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: diocesan bishop | Statement: [Diocese of the Virgin Islands, hasLeadershipRole, diocesan bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadershipRole Context triple: [Diocese of the Virgin Islands, hasLeadershipRole, diocesan bishop]
-
A.
leadershipPosition
chosen
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
B.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
C.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
D.
servedAs
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
E.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2596810c48190ab687c0c2efaa9e2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.