Triple
T2502276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morley |
E52490
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Beeston |
E149933
|
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: Beeston | Statement: [Morley, hasNeighbouringSettlement, Beeston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeston Context triple: [Morley, hasNeighbouringSettlement, Beeston]
-
A.
Beeston
chosen
Beeston is a suburban town just southwest of Nottingham in England, known for its residential character, local amenities, and proximity to the University of Nottingham.
-
B.
Banstead
Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
-
C.
Bexley
Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
-
D.
Whittington
Whittington is a University College London campus site associated primarily with medical and clinical education and research activities.
-
E.
Whittington
Whittington is a small village in Norfolk, England, known for its rural character and proximity to the River Wissey.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1c9f80c8190b40ada396e184e75 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa34dc8819085681d673e45d841 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.