Triple

T18548519
Position Surface form Disambiguated ID Type / Status
Subject Runway 14/32 E453301 entity
Predicate associatedWithICAOAirportCode P36333 FINISHED
Object HKNW 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: HKNW | Statement: [Runway 14/32, associatedWithICAOAirportCode, HKNW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HKNW
Context triple: [Runway 14/32, associatedWithICAOAirportCode, HKNW]
  • A. HKNW chosen
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • B. HKN
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • C. HKN
    HKN is the National Rail station code for Hucknall railway station in Nottinghamshire, England.
  • D. KNH
    KNH is the IATA airport code for Kinmen Airport, which serves Kinmen Island off the coast of southeastern China and is administered by Taiwan.
  • E. KHNZ
    KHNZ is the ICAO airport code for Henderson–Oxford Airport, a public-use airport serving the Henderson and Oxford area in North Carolina, United States.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.