Triple
T14194215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatley |
E351791
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Gatley Carrs |
E351791
|
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: Gatley Carrs | Statement: [Gatley, hasPark, Gatley Carrs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatley Carrs Context triple: [Gatley, hasPark, Gatley Carrs]
-
A.
Gatley
chosen
Gatley is a suburban village within the Greater Manchester conurbation in North West England.
-
B.
Honley
Honley is a large village in West Yorkshire, England, situated in the Holme Valley near Huddersfield.
-
C.
Ewood Bridge
Ewood Bridge is a small settlement in Lancashire, England, situated in the Irwell Valley near the River Irwell and historically associated with local industry and transport.
-
D.
Skelton Green
Skelton Green is a small village in North Yorkshire, England, situated near the North Sea coast and historically associated with the Teesside area.
-
E.
Ferryhill
Ferryhill is a small town in County Durham, England, known historically for its coal mining heritage and location between Durham and Darlington.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194951d481909a8e81f2d09feefa |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.