Triple
T23512524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Ducey |
E572463
|
entity |
| Predicate | termEndReason |
P6707
|
FINISHED |
| Object | reached Arizona gubernatorial term limit |
—
|
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: reached Arizona gubernatorial term limit | Statement: [Doug Ducey, termEndReason, reached Arizona gubernatorial term limit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndReason Context triple: [Doug Ducey, termEndReason, reached Arizona gubernatorial term limit]
-
A.
natureOfTermination
Indicates the manner, cause, or conditions under which a relationship, contract, or employment is brought to an end.
-
B.
reasonForEndOfTerm
chosen
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
C.
terminationEndedIn
Indicates that a termination event concluded with a specific outcome or result.
-
D.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
E.
terminationPolicyEnded
Indicates that a previously established termination policy has come to an end and is no longer in effect.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7f583881909e78e8fe2e6e25fe |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.