Triple
T5282394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Kingston |
E119529
|
entity |
| Predicate | officeHolderReligion |
P23795
|
FINISHED |
| Object | Anglicanism |
—
|
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: Anglicanism | Statement: [Bishop of Kingston, officeHolderReligion, Anglicanism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderReligion Context triple: [Bishop of Kingston, officeHolderReligion, Anglicanism]
-
A.
officialReligion
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
B.
titleHolderReligion
chosen
Indicates the religious affiliation associated with the holder of a particular title.
-
C.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
D.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
E.
religionOfMonarch
Indicates the religious affiliation or faith practiced by a given monarch.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.