Triple
T16085518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana gubernatorial election |
E390218
|
entity |
| Predicate | electsForTerm |
P39902
|
FINISHED |
| Object | four-year term |
—
|
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: four-year term | Statement: [Indiana gubernatorial election, electsForTerm, four-year term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsForTerm Context triple: [Indiana gubernatorial election, electsForTerm, four-year term]
-
A.
electedForTerm
Indicates that an entity has been chosen through an election to hold a position or office for a specified term or duration.
-
B.
electsTermLength
chosen
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
C.
electsAt
Indicates that an election or selection of someone or something to a position, role, or office occurs at a specific time or in a specific context.
-
D.
electsRepresentativeEvery
Indicates that one entity periodically chooses or votes to select another entity to serve as its representative.
-
E.
isUsuallyElectedFor
Indicates that an entity typically attains a position, role, or office through an election process.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.