Triple
T5132387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish House of Lords |
E115731
|
entity |
| Predicate | religiousRepresentation |
P59991
|
FINISHED |
| Object | Anglican bishops of the Church of Ireland |
—
|
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: Anglican bishops of the Church of Ireland | Statement: [Irish House of Lords, religiousRepresentation, Anglican bishops of the Church of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousRepresentation Context triple: [Irish House of Lords, religiousRepresentation, Anglican bishops of the Church of Ireland]
-
A.
representsPeople
Indicates that one entity serves as a representation or stand-in for one or more people.
-
B.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
-
C.
religiousConstituency
chosen
Indicates that one entity serves as a religious constituency or faith-based voter base for another entity, typically in a political or organizational context.
-
D.
representedPoliticalEntity
Indicates that one entity has served as an official political representative or agent acting on behalf of another political entity.
-
E.
areRepresentedIn
Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.