Triple
T35731661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of Selayar Islands |
E1032765
|
entity |
| Predicate | sectorOfResponsibility |
P636
|
FINISHED |
| Object | public administration |
—
|
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: public administration | Statement: [Regent of Selayar Islands, sectorOfResponsibility, public administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorOfResponsibility Context triple: [Regent of Selayar Islands, sectorOfResponsibility, public administration]
-
A.
sectorOfOperation
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
B.
sectorOfOffice
Indicates that an office belongs to, operates within, or is administratively assigned to a particular sector.
-
C.
sectorGoverned
Indicates that a particular sector or domain is under the authority, control, or regulatory oversight of a specified governing entity.
-
D.
scopeOfDuty
Indicates the range or extent of responsibilities, tasks, or obligations that an entity is expected or authorized to perform.
-
E.
responsibleFor
chosen
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.