Triple
T27919983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Florida gubernatorial election |
E706176
|
entity |
| Predicate | electedGovernorNumber |
P111993
|
FINISHED |
| Object | 43rd Governor of Florida |
—
|
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: 43rd Governor of Florida | Statement: [1998 Florida gubernatorial election, electedGovernorNumber, 43rd Governor of Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedGovernorNumber Context triple: [1998 Florida gubernatorial election, electedGovernorNumber, 43rd Governor of Florida]
-
A.
governorateNumber
Indicates the numerical identifier assigned to a specific governorate within an administrative or political system.
-
B.
servedAsGovernorNumber
chosen
Indicates the ordinal position in which an individual served as governor (e.g., first, second, third).
-
C.
electedAsGovernorInYear
Indicates that a person attained the position of governor in a specified year.
-
D.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
E.
governorTerm
Indicates the time period during which a person holds or held the office of governor of a specific jurisdiction.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 6:56 p.m.