Triple
T9982781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenancies Act 1997 |
E196492
|
entity |
| Predicate | typeOfOfficeRegulated |
P49685
|
FINISHED |
| Object | Crown representative |
—
|
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: Crown representative | Statement: [Lieutenancies Act 1997, typeOfOfficeRegulated, Crown representative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOfficeRegulated Context triple: [Lieutenancies Act 1997, typeOfOfficeRegulated, Crown representative]
-
A.
regulatesOffice
Indicates that one entity establishes or enforces rules, standards, or oversight governing the operation or conduct of an office.
-
B.
governsOfficeType
chosen
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of office.
-
C.
typeOfAgencyRegulated
Indicates that one entity is the kind or category of agency that is subject to regulation by another entity.
-
D.
governmentTypeRegulated
Indicates that the type or form of government of an entity is subject to regulation, control, or definition by another authority or governing framework.
-
E.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bca41081909c04fb77603403b9 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.