Triple
T13448010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mytchett |
E320535
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | CAMBERLEY |
E25243
|
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: CAMBERLEY | Statement: [Mytchett, hasPostTown, CAMBERLEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAMBERLEY Context triple: [Mytchett, hasPostTown, CAMBERLEY]
-
A.
Camberley
chosen
Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
-
B.
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
C.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
D.
Cobham
Cobham is a British aerospace and defense company known for supplying advanced air-to-air refueling systems and mission-critical communication technologies to military and civil aircraft programs worldwide.
-
E.
Cobham
Cobham is a clan associated with the Efik people, an ethnic group primarily found in southeastern Nigeria.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73998221c8190a2d8982a3da28ec9 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.