Triple
T14319195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Government Act 2000 |
E355035
|
entity |
| Predicate | introducedExecutiveArrangements |
P1001
|
FINISHED |
| Object | elected mayor and cabinet |
—
|
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: elected mayor and cabinet | Statement: [Local Government Act 2000, introducedExecutiveArrangements, elected mayor and cabinet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedExecutiveArrangements Context triple: [Local Government Act 2000, introducedExecutiveArrangements, elected mayor and cabinet]
-
A.
executiveFor
Indicates that one entity serves in an executive role (such as CEO, president, or similar leadership position) for another entity, typically an organization or company.
-
B.
executiveOfficeInvolved
Indicates that an executive-level office is directly involved in, overseeing, or responsible for the referenced action or relationship.
-
C.
executiveBody
chosen
Indicates that an entity serves as the executive governing authority or decision-making body for another entity.
-
D.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
E.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883a93548190ac671b001d15d0bd |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.