Triple
T15218291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Dallas mayoral election |
E363694
|
entity |
| Predicate | reasonForOpenSeat |
P117566
|
FINISHED |
| Object | term limits |
—
|
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: term limits | Statement: [2019 Dallas mayoral election, reasonForOpenSeat, term limits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForOpenSeat Context triple: [2019 Dallas mayoral election, reasonForOpenSeat, term limits]
-
A.
seatVacatedBy
Indicates that a particular seat has been freed or relinquished as a result of an action performed by a specific entity.
-
B.
otherSeat
Indicates that one entity is the alternative or different seat relative to another seat in a given context.
-
C.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
-
D.
seatWinner
Indicates that a particular candidate or party has won a specific seat (e.g., in an election or contest).
-
E.
isNewSeatAt
Indicates that an entity has become a newly assigned or newly created seat at a specified location or context.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:11 a.m.