Triple
T966424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Salisbury |
E20846
|
entity |
| Predicate | hasTypeOfBishop |
P16808
|
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 Salisbury, hasTypeOfBishop, diocesan bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfBishop Context triple: [Diocese of Salisbury, hasTypeOfBishop, diocesan bishop]
-
A.
hasBishop
Indicates that one entity possesses, is assigned, or is associated with a bishop in relation to another entity.
-
B.
hasBowType
Indicates that an entity possesses or is associated with a specific type or category of bow.
-
C.
majorityOfBishopsFrom
Indicates that, within a given group or context, more than half of the bishops originate from or are associated with a specified place or source.
-
D.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
kingIsInviolable
Indicates that the king is protected from harm, violation, or infringement, often implying legal or moral immunity from certain actions.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b43412488190b68e33d2b36a0ba3 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.