Triple
T4778170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowton |
E106104
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Golborne |
E290981
|
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: Golborne | Statement: [Lowton, locatedNear, Golborne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golborne Context triple: [Lowton, locatedNear, Golborne]
-
A.
Golborne
chosen
Golborne is a town in the Metropolitan Borough of Wigan in Greater Manchester, England, historically part of Lancashire.
-
B.
Gowland
Gowland is the middle name of Frederick Gowland Hopkins, the English biochemist and Nobel laureate known for his work on vitamins and essential nutrients.
-
C.
Gossops Green
Gossops Green is a residential neighbourhood and suburb within the town of Crawley in West Sussex, England.
-
D.
Gowerton
Gowerton is a suburban village in South Wales, known as a commuter settlement northwest of Swansea with a mix of residential areas and local amenities.
-
E.
Lansbury
Lansbury is the surname most famously associated with British-American actress and singer Angela Lansbury, renowned for her work in film, theatre, and television.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd658942e481908570cfec77fe4a4b |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43caec588190880c47f11d3f2daf |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.