Triple
T31756795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Casar |
E810573
|
entity |
| Predicate | state of office |
P120266
|
FINISHED |
| Object | Texas |
—
|
NE NERFINISHED |
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: Texas | Statement: [Greg Casar, state of office, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: state of office Context triple: [Greg Casar, state of office, Texas]
-
A.
stateOfOffice
Indicates the current condition or operational status of an office (such as open, closed, under renovation, or active/inactive).
-
B.
stateOfPoliticalOffice
Indicates the political office or governmental position currently held or associated with an entity.
-
C.
incumbentOffice
Indicates that a person currently holds and serves in a specified office or position.
-
D.
oneOfTheGreatOfficesOfState
Indicates that the entity holds or pertains to one of the highest-ranking senior government positions traditionally recognized as the Great Offices of State.
-
E.
stateLevelOfficeHeld
chosen
Indicates that an entity has held a public office or position within a state-level government.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 30, 2026, 11:29 p.m.