Triple
T6046872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runnymede and Weybridge |
E134686
|
entity |
| Predicate | mapEntity |
P9923
|
FINISHED |
| Object | United Kingdom Surrey |
E2921
|
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: United Kingdom Surrey | Statement: [Runnymede and Weybridge, mapEntity, United Kingdom Surrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Kingdom Surrey Context triple: [Runnymede and Weybridge, mapEntity, United Kingdom Surrey]
-
A.
Surrey
Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
-
B.
Surrey
chosen
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
C.
Richmond, Surrey, England
Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
-
D.
Ham, Surrey, England
Ham, Surrey, England is a suburban riverside district in southwest London known for its historic houses, green spaces, and village-like character along the River Thames.
-
E.
Berkshire, England
Berkshire, England is a historic county in South East England known for its royal connections, including Windsor Castle, and its picturesque Thames-side towns.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.