Triple
T336095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas County District Attorney |
E6729
|
entity |
| Predicate | appointedOrElected |
P11399
|
FINISHED |
| Object | elected |
—
|
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: elected | Statement: [Dallas County District Attorney, appointedOrElected, elected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedOrElected Context triple: [Dallas County District Attorney, appointedOrElected, elected]
-
A.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
appointedAfter
Indicates that one entity was appointed to a position or role at a later time than another entity.
-
C.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
-
D.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
-
E.
appointed
Indicates that one entity formally assigns another entity to a position, role, or responsibility.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac81c0c8190b3cb0d53b1cf62b5 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.