Triple
T32493004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Tippetts |
E830440
|
entity |
| Predicate | jurisdictionOfOfficeSought |
P28962
|
FINISHED |
| Object | State of 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: State of Texas | Statement: [Mark Tippetts, jurisdictionOfOfficeSought, State of Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisdictionOfOfficeSought Context triple: [Mark Tippetts, jurisdictionOfOfficeSought, State of Texas]
-
A.
politicalOfficeJurisdiction
chosen
Indicates the governmental area or jurisdiction over which a political office holds authority or responsibility.
-
B.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
electionForJurisdiction
Indicates that an election is held to select officials or decide matters for a specific governing area or jurisdiction.
-
D.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
E.
stateOfPoliticalOffice
Indicates the political office or governmental position currently held or associated with an entity.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4087e048190884d3902fdc81aa5 |
completed | May 3, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.