Triple
T19187229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowton Common |
E469732
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Golborne |
—
|
NE NERFINISHED |
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 Common, locatedNear, Golborne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golborne Context triple: [Lowton Common, locatedNear, Golborne]
-
A.
Golborne
chosen
Golborne is a town in the Metropolitan Borough of Wigan in Greater Manchester, England, historically part of Lancashire.
-
B.
Golborne
Golborne is a neighborhood in the Royal Borough of Kensington and Chelsea in West London, known for its diverse community and vibrant Golborne Road market.
-
C.
Galford
Galford is a popular American ninja character from SNK’s Samurai Shodown fighting game series, known for fighting alongside his loyal dog Poppy.
-
D.
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.
-
E.
Garrowhill
Garrowhill is a residential district in the east end of Glasgow, Scotland, known for its suburban character and rail links into the city centre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.