Triple
T7830007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Donald |
E181341
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Droylsden |
E157234
|
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: Droylsden | Statement: [Howard Donald, birthPlace, Droylsden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Droylsden Context triple: [Howard Donald, birthPlace, Droylsden]
-
A.
Droylsden
chosen
Droylsden is a town in Greater Manchester, England, historically part of Lancashire and now a residential suburb of Manchester.
-
B.
Levenshulme
Levenshulme is a residential suburb in south Manchester, England, known for its diverse community and vibrant local markets.
-
C.
Worsley
Worsley is a village in Greater Manchester, England, historically significant as a coal-mining and canal hub central to the early Industrial Revolution.
-
D.
Didsbury
Didsbury is a suburban area of Manchester, England, known for its leafy residential streets, independent shops, and vibrant café and bar scene.
-
E.
Prestwich
Prestwich is a suburban town in Greater Manchester, England, known for its residential character and proximity to Manchester city centre.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a854fac8190802599615a0f7bc4 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:44 p.m.