Triple
T6210952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Don |
E138865
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Meadowhall |
E426230
|
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: Meadowhall | Statement: [River Don, passesNear, Meadowhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadowhall Context triple: [River Don, passesNear, Meadowhall]
-
A.
Meadowhall
chosen
Meadowhall is a large indoor shopping and leisure complex in Sheffield, South Yorkshire, and one of the UK’s major retail destinations.
-
B.
Malvern Park
Malvern Park is a public green space in Solihull, England, known for its landscaped gardens, recreational facilities, and community events.
-
C.
Longwell Green
Longwell Green is a suburban area and civil parish in South Gloucestershire, England, situated on the eastern outskirts of Bristol.
-
D.
Sunningdale
Sunningdale is an affluent village in Berkshire, England, known for its prestigious golf courses and leafy residential character.
-
E.
Northmoor
Northmoor is a small rural village and civil parish in Oxfordshire, England, situated near the River Thames.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.