Triple
T3122527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds City Region |
E65217
|
entity |
| Predicate | contains |
P35
|
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: [Leeds City Region, contains, Selby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selby Context triple: [Leeds City Region, contains, Selby]
-
A.
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.
-
B.
Selby
Selby is the surname of American rapper and songwriter Desiigner, whose full name is Sidney Royel Selby III.
-
C.
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.
-
D.
Pennington
Pennington is a small borough in Mercer County, New Jersey, known for its historic character and residential community.
-
E.
Willett
Willett is a surname of English origin borne by various notable individuals, including American Revolutionary War officer and politician Marinus Willett.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6f57fc8190a5f50028792ac394 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.