Triple
T17119807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Party presidential primaries, 2004 |
E415434
|
entity |
| Predicate | incumbentRanUnopposedInManyStates |
P126022
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Republican Party presidential primaries, 2004, incumbentRanUnopposedInManyStates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentRanUnopposedInManyStates Context triple: [Republican Party presidential primaries, 2004, incumbentRanUnopposedInManyStates, true]
-
A.
incumbentRanForReelection
Indicates that a current officeholder sought to be elected again to the same position in a subsequent election.
-
B.
numberOfIncumbents
Indicates the count of entities currently holding a particular position, role, or status at a given time.
-
C.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
D.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
E.
ranInElection
Indicates that an entity was a candidate participating in a specific election.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:36 a.m.