Triple
T6810646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandringham School |
E156622
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Frimley |
E28739
|
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: Frimley | Statement: [Sandringham School, locatedIn, Frimley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frimley Context triple: [Sandringham School, locatedIn, Frimley]
-
A.
Frimley
chosen
Frimley is a suburban town in southeast England that forms part of the Surrey Heath borough and lies within the county of Surrey.
-
B.
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
C.
Twyford
Twyford is a village and civil parish in Berkshire, England, known as a commuter settlement between Reading and London.
-
D.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
E.
Limpsfield
Limpsfield is a historic village and civil parish in Surrey, England, known for its picturesque countryside and traditional English character.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77528c3a481909085fabe8fc08d8a |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 27, 2026, 2:16 p.m.