Triple

T12265013
Position Surface form Disambiguated ID Type / Status
Subject Dunsfold Aerodrome E292320 entity
Predicate locatedNear P294 FINISHED
Object Cranleigh E31256 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: Cranleigh | Statement: [Dunsfold Aerodrome, locatedNear, Cranleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranleigh
Context triple: [Dunsfold Aerodrome, locatedNear, Cranleigh]
  • A. Cranleigh chosen
    Cranleigh is a large village and civil parish in the county of Surrey in southeast England, known for its rural setting and local amenities.
  • B. Cranleigh Waters
    Cranleigh Waters is a small river in Surrey, England, that flows through the village of Cranleigh and joins the River Wey.
  • C. Adcote
    Adcote is a Victorian country house in Shropshire, England, designed in the late 19th century by architect Richard Norman Shaw in a distinctive Tudor Revival style.
  • D. Bryanston
    Bryanston is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
  • E. Aldenham
    Aldenham is a historic village and civil parish in Hertfordshire, England, known for its rural character and traditional English architecture.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac4f2bc8190b5fde350c9e61bd6 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.