Triple
T4755838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Stepney |
E105585
|
entity |
| Predicate | firstIncumbentStartYear |
P5162
|
FINISHED |
| Object | 1895 |
—
|
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: 1895 | Statement: [Bishop of Stepney, firstIncumbentStartYear, 1895]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIncumbentStartYear Context triple: [Bishop of Stepney, firstIncumbentStartYear, 1895]
-
A.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
B.
inauguralClassYear
Indicates the year in which the first (inaugural) class or cohort associated with an entity began or was established.
-
C.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
D.
inauguralHolderStartDate
chosen
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
E.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e9d80c819088532921a46ea1d6 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.