Triple
T6258782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Worcester |
E140241
|
entity |
| Predicate | incumbentStartDate |
P61436
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Bishop of Worcester, incumbentStartDate, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentStartDate Context triple: [Bishop of Worcester, incumbentStartDate, 2007]
-
A.
candidacyStartDate
Indicates the date on which an entity’s candidacy for a role, position, or election officially begins.
-
B.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
C.
currentIncumbentStartYear
chosen
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
-
D.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
E.
mayoralTermStart
Indicates the date or point in time when an individual's tenure as mayor officially begins.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.