Triple
T36034218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strathclyde Police |
E1042352
|
entity |
| Predicate | policedRuralArea |
P125179
|
FINISHED |
| Object | parts of Argyll and Bute |
—
|
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: parts of Argyll and Bute | Statement: [Strathclyde Police, policedRuralArea, parts of Argyll and Bute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policedRuralArea Context triple: [Strathclyde Police, policedRuralArea, parts of Argyll and Bute]
-
A.
policesRuralAreas
chosen
Indicates that an entity is responsible for enforcing law and maintaining public order in rural or non-urban areas.
-
B.
governsRuralArea
Indicates that one entity has governing authority or administrative control over a rural area associated with another entity.
-
C.
areaTypePoliced
Indicates that a particular type of geographic or administrative area falls under the policing responsibility or jurisdiction of a specified policing entity.
-
D.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
E.
policedCounty
Indicates that a law enforcement body has jurisdiction over, and is responsible for policing, a particular county.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.