Triple
T13731792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Yorkshire Police |
E329819
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Selby |
E85838
|
NE 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: Selby | Statement: [North Yorkshire Police, operatesIn, Selby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selby Context triple: [North Yorkshire Police, operatesIn, Selby]
-
A.
Selby
Selby is the surname of American rapper and songwriter Desiigner, whose full name is Sidney Royel Selby III.
-
B.
Selby
chosen
Selby is a historic market town and civil parish in North Yorkshire, England, known for its impressive medieval abbey and riverside setting on the River Ouse.
-
C.
Eckersley
Eckersley is a surname most prominently associated with Hall of Fame Major League Baseball pitcher and broadcaster Dennis Eckersley.
-
D.
Bickley
Bickley is a suburban residential area in the London Borough of Bromley, known for its leafy streets, large Victorian and Edwardian houses, and commuter links into central London.
-
E.
Haye
Haye is a surname most prominently associated with British former world champion boxer David Haye.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.