Triple
T5586048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Sheriff of Oxfordshire |
E146759
|
entity |
| Predicate | isNonSalariedPosition |
P2448
|
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 Oxfordshire, isNonSalariedPosition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSalariedPosition Context triple: [High Sheriff of Oxfordshire, isNonSalariedPosition, true]
-
A.
isNonExecutive
Indicates that an entity holds a role or position that does not involve executive or top-level managerial authority within an organization.
-
B.
isNonCabinetPosition
Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
-
C.
isNonJudicial
Indicates that an action, process, or decision occurs outside of formal judicial proceedings and is not carried out by a court or judge.
-
D.
salaryType
chosen
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
E.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020871a3c8190991f291295cadfa5 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.