Triple
T6766959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surrey Fire and Rescue Service |
E154745
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Surrey, England |
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: Surrey, England | Statement: [Surrey Fire and Rescue Service, regionServed, Surrey, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surrey, England Context triple: [Surrey Fire and Rescue Service, regionServed, Surrey, England]
-
A.
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.
-
B.
Surrey
chosen
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
C.
Surrey
Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
-
D.
Middlesex, England
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
-
E.
Leatherhead, Surrey, England
Leatherhead, Surrey, England is a historic market town in the Mole Valley district of Surrey, located on the River Mole just south of London.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2303c6881909405f0d6089dbe12 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723c67dc08190b21138488c80733a |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:12 p.m.