Triple
T1059362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Yorkshire |
E22870
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Morley |
E52490
|
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: Morley | Statement: [West Yorkshire, hasMajorTown, Morley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morley Context triple: [West Yorkshire, hasMajorTown, Morley]
-
A.
Morley
chosen
Morley is a town in West Yorkshire, England, situated between Leeds and Bradford within the Leeds City Council metropolitan area.
-
B.
Heywood
Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
-
C.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
D.
Melwood
Melwood was the long-standing training ground and coaching facility of Liverpool Football Club, renowned as the site where many of the club’s famous teams prepared and trained.
-
E.
Seaton Carew
Seaton Carew is a coastal village and seaside resort in County Durham, England, known for its sandy beach and promenade along the North Sea.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f28c7c8190b9ca3749666bcbf3 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53864a20819081fc59e7102a6e00 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:42 p.m.