Triple
T14758281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Lane |
E346787
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Disley |
E459524
|
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: Disley | Statement: [High Lane, locatedNear, Disley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disley Context triple: [High Lane, locatedNear, Disley]
-
A.
Disley
chosen
Disley is a village and civil parish in Cheshire, England, known as a gateway to the Peak District and for its proximity to the historic Lyme Park estate.
-
B.
Rawreth
Rawreth is a small rural village and civil parish in Essex, England, known for its agricultural character and proximity to the town of Rayleigh.
-
C.
Wilston
Wilston is an inner-northern residential suburb of Brisbane, Australia, known for its leafy streets, character homes, and proximity to the city centre.
-
D.
Dudley
Dudley is a large industrial town in England’s West Midlands, historically known for its role in the Black Country and its prominent castle and zoo.
-
E.
Dudley
Dudley is a masculine given name of English origin that has been borne by various notable figures in literature, politics, and entertainment.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ced0e2c8190a13e3b43e4d35560 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.