Triple
T7889578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Borough President |
E183191
|
entity |
| Predicate | precededByOfficeHolderTermEnd |
P79592
|
FINISHED |
| Object | 2021-12-31 |
—
|
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: 2021-12-31 | Statement: [Brooklyn Borough President, precededByOfficeHolderTermEnd, 2021-12-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByOfficeHolderTermEnd Context triple: [Brooklyn Borough President, precededByOfficeHolderTermEnd, 2021-12-31]
-
A.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
-
B.
precededByOfficeTitle
Indicates that one office title directly came before another in an ordered sequence of office positions.
-
C.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
-
D.
previousOffice
Indicates that one office or position was held immediately before another in a sequence of offices.
-
E.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
- F. None of above. chosen
Provenance (4 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ecb700819091c1bdfa95349d36 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 5 p.m.