Triple

T19207771
Position Surface form Disambiguated ID Type / Status
Subject Y Rhws E480278 entity
Predicate near P350 FINISHED
Object Cardiff Airport NE NERFINISHED

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: Cardiff Airport | Statement: [Y Rhws, near, Cardiff Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff Airport
Context triple: [Y Rhws, near, Cardiff Airport]
  • A. Cardiff Airport chosen
    Cardiff Airport is the main international airport serving Cardiff and the wider South Wales region, offering domestic and overseas flights.
  • B. Haverfordwest Airport
    Haverfordwest Airport is a small public airfield in Pembrokeshire, Wales, primarily serving general aviation and regional flights.
  • C. Bristol Airport
    Bristol Airport is a major regional airport in South West England serving domestic and international flights, notably as a key base for low-cost carriers like easyJet.
  • D. Southampton Airport
    Southampton Airport is a regional international airport in Hampshire, England, serving the city of Southampton and the wider South East England area with domestic and European flights.
  • E. Carlisle Airport
    Carlisle Airport is a small regional airport in Cumbria, England, serving the city of Carlisle and the surrounding Lake District area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99e9f8c8190b73db55f3f8bbf20 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:20 p.m.