Triple
T26366845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Heineman |
E660358
|
entity |
| Predicate | termLimitReasonForLeavingOffice |
P160579
|
FINISHED |
| Object | Nebraska gubernatorial 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: Nebraska gubernatorial term limits | Statement: [Dave Heineman, termLimitReasonForLeavingOffice, Nebraska gubernatorial term limits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLimitReasonForLeavingOffice Context triple: [Dave Heineman, termLimitReasonForLeavingOffice, Nebraska gubernatorial term limits]
-
A.
methodOfRemovalFromOffice
Indicates the specific process or procedure by which an officeholder is removed from their position.
-
B.
causeOfRemovalFromOffice
Indicates the reason or factor that led to an individual being removed from an official position or office.
-
C.
byElectionReason
Indicates the reason or cause for which a by-election is being held.
-
D.
incumbentPresidentTermLimitReason
Indicates the reason why the current president is subject to a specific term limit or restriction on holding office.
-
E.
reasonForAssumingOffice
Indicates the circumstance, cause, or justification that led an entity to take up or begin holding a particular office or position.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6102cee1081908fc0060af9412706 |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 26, 2026, 10:55 p.m.