Triple
T15260616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandown Park |
E364763
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Esher, Surrey, England |
E26463
|
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: Esher, Surrey, England | Statement: [Sandown Park, location, Esher, Surrey, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esher, Surrey, England Context triple: [Sandown Park, location, Esher, Surrey, England]
-
A.
Esher
chosen
Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
-
B.
Hounslow, London, England
Hounslow, London, England is a suburban district in West London known for its diverse community and proximity to Heathrow Airport.
-
C.
Isleworth, Middlesex, England
Isleworth, Middlesex, England is a suburban town in West London situated on the River Thames, historically part of the county of Middlesex.
-
D.
Surrey, England
Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
-
E.
Hillingdon, London, England
Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:14 a.m.