Triple
T1185837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camberley |
E25243
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Farnborough |
E98735
|
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: Farnborough | Statement: [Camberley, locatedNear, Farnborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnborough Context triple: [Camberley, locatedNear, Farnborough]
-
A.
Farnborough, London
Farnborough, London is a suburban area in the London Borough of Bromley known for its village-like character on the southeastern edge of Greater London.
-
B.
Farnborough Airfield
chosen
Farnborough Airfield is a historic British airfield in Hampshire renowned as a major center for aviation research, development, and the famous Farnborough International Airshow.
-
C.
Maidenhead
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
D.
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
E.
Basingstoke
Basingstoke is a large town in Hampshire, England, known as a major commercial and retail centre with significant modern development and transport links.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f239a288190ae488d11cff8ebf2 |
completed | March 7, 2026, 6:32 p.m. |
Created at: March 1, 2026, 7:45 p.m.