Triple
T8027203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 Florida gubernatorial election |
E186883
|
entity |
| Predicate | incumbentSoughtReelection |
P52670
|
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: [2002 Florida gubernatorial election, incumbentSoughtReelection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentSoughtReelection Context triple: [2002 Florida gubernatorial election, incumbentSoughtReelection, true]
-
A.
incumbentRanForReelection
chosen
Indicates that a current officeholder sought to be elected again to the same position in a subsequent election.
-
B.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
C.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
D.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
E.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.