Triple
T16239285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Hunt |
E394198
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Belmont, Surrey, England |
E394199
|
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: Belmont, Surrey, England | Statement: [James Hunt, placeOfBirth, Belmont, Surrey, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmont, Surrey, England Context triple: [James Hunt, placeOfBirth, Belmont, Surrey, England]
-
A.
Belmont, Surrey, England
chosen
Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
-
B.
Kenley, Surrey, England
Kenley, Surrey, England is a suburban district in South London known for its historic airfield and green, residential character.
-
C.
Surrey, England
Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
-
D.
Kingsbury, London, England
Kingsbury is a suburban district in northwest London, England, known for its residential character and diverse community.
-
E.
Beckenham, Kent, England
Beckenham, Kent, England is a suburban town in southeast London historically part of Kent, known for its Victorian and Edwardian residential areas and green spaces.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455d5270819090171d4207223a28 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edaf76c8190acc01f58845e570a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.