Triple
T29080648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Sheriff of Suffolk |
E733971
|
entity |
| Predicate | isPartTimePosition |
P117009
|
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: [High Sheriff of Suffolk, isPartTimePosition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartTimePosition Context triple: [High Sheriff of Suffolk, isPartTimePosition, true]
-
A.
isPartTimeForce
Indicates that an entity serves in a force or organization on a part-time rather than full-time basis.
-
B.
mayBeCompletedPartTimeIn
Indicates that an activity, program, or task can be undertaken and finished on a part-time basis within the specified context or location.
-
C.
isFullTimeUnit
Indicates that a unit operates or is engaged on a full-time basis rather than part-time or intermittently.
-
D.
partTimeOccupation
chosen
Indicates that an entity holds a job or role on a part-time basis rather than full-time.
-
E.
ranPartTime
Indicates that an entity operated or managed something on a part-time basis.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 28, 2026, 10:54 a.m.