Triple
T18464821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Sheffield |
E451131
|
entity |
| Predicate | hasBishopricType |
P31297
|
FINISHED |
| Object | diocesan bishopric |
—
|
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 bishopric | Statement: [Bishop of Sheffield, hasBishopricType, diocesan bishopric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBishopricType Context triple: [Bishop of Sheffield, hasBishopricType, diocesan bishopric]
-
A.
hasBishopric
Indicates that an entity holds or is assigned a bishopric, i.e., the office, jurisdiction, or see of a bishop.
-
B.
typeOfBishop
chosen
Indicates that one entity is a specific kind or category of bishop in relation to another entity.
-
C.
hasParishType
Indicates that an entity is associated with or classified by a specific type or category of parish.
-
D.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
E.
hasReligiousInstitutionType
Indicates that an entity is associated with, or classified by, a specific type of religious 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a82920081909b2b89125db5982a |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.