Triple
T4708214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heywood Urban District |
E104444
|
entity |
| Predicate | administered |
P86
|
FINISHED |
| Object | Heywood |
E111924
|
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: Heywood | Statement: [Heywood Urban District, administered, Heywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heywood Context triple: [Heywood Urban District, administered, Heywood]
-
A.
Heywood
chosen
Heywood is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
-
B.
Haddon
Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
-
C.
Morley
Morley is a town in West Yorkshire, England, situated between Leeds and Bradford within the Leeds City Council metropolitan area.
-
D.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
E.
Orrell
Orrell is a suburban area and electoral ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ebf7e48190b545670ec114bd7e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39e6428c81909be9bdb314993b1e |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:17 p.m.