Triple
T38600230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaine County Commissioner |
E934190
|
entity |
| Predicate | mayHaveTermLength |
P188432
|
FINISHED |
| Object | fixed term of office |
—
|
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: fixed term of office | Statement: [Blaine County Commissioner, mayHaveTermLength, fixed term of office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveTermLength Context triple: [Blaine County Commissioner, mayHaveTermLength, fixed term of office]
-
A.
mayHaveTerm
Indicates that an entity is allowed or able to be associated with a particular term, but is not required to have it.
-
B.
possibleLengthDays
Indicates that an entity can have a duration, measured in whole or fractional days, equal to the specified value.
-
C.
minimumTerm
Indicates the shortest or least duration, period, or term that must apply within a given relationship or agreement.
-
D.
hasPeriodLength
chosen
Indicates that something is associated with a specific duration or length of a recurring cycle or period.
-
E.
mayServeMultipleTerms
Indicates that an entity is allowed to hold or perform the same role or position for more than one term.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.