Triple
T15245032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoneleigh, Surrey |
E364355
|
entity |
| Predicate | localAuthorityDistrictType |
P80652
|
FINISHED |
| Object | non-metropolitan district |
—
|
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: non-metropolitan district | Statement: [Stoneleigh, Surrey, localAuthorityDistrictType, non-metropolitan district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localAuthorityDistrictType Context triple: [Stoneleigh, Surrey, localAuthorityDistrictType, non-metropolitan district]
-
A.
localAuthorityDistrictCode
Indicates the specific local authority district to which an entity is administratively assigned, represented by its official code.
-
B.
localAuthorityArea
Indicates that one entity is a geographic or administrative area governed or managed by a specified local authority.
-
C.
localGovernmentAreaType
Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
-
D.
typeOfDistrict
chosen
Indicates the specific category or classification to which a given district belongs.
-
E.
containsLocalAuthorityArea
Indicates that one entity geographically encompasses or includes the entire area governed by a specific local authority.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.