Triple
T2017393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worsley |
E44025
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Worsley Green |
E44025
|
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: Worsley Green | Statement: [Worsley, hasLandmark, Worsley Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worsley Green Context triple: [Worsley, hasLandmark, Worsley Green]
-
A.
Worsley
chosen
Worsley is a village in Greater Manchester, England, historically significant as a coal-mining and canal hub central to the early Industrial Revolution.
-
B.
Collyhurst
Collyhurst is an inner-city district of Manchester, England, known historically for its red sandstone quarries and working-class residential character.
-
C.
Ordsall
Ordsall is an inner-city district of Salford in Greater Manchester, England, known for its historic Ordsall Hall and proximity to Manchester city centre.
-
D.
Wythenshawe
Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
-
E.
Moss Side
Moss Side is an inner-city district of Manchester, England, known for its diverse community, rich cultural history, and significant role in the city’s social and musical life.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ccdb7c81909f6b3c96f79fcdfc |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe5ad548190b4a64c5320b99c6d |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:38 p.m.