Triple

T15502334
Position Surface form Disambiguated ID Type / Status
Subject Westchester County Airport E378990 entity
Predicate hasFourLetterCode P3747 FINISHED
Object KHPN E378991 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: KHPN | Statement: [Westchester County Airport, hasFourLetterCode, KHPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KHPN
Context triple: [Westchester County Airport, hasFourLetterCode, KHPN]
  • A. KHPN chosen
    KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • B. 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.
  • C. KPAH
    KPAH is the ICAO airport code for Barkley Regional Airport, a public airport serving the Paducah, Kentucky area in the United States.
  • D. KHOP
    KHOP is the ICAO airport code for Campbell Army Airfield, a U.S. military airfield located at Fort Campbell on the Kentucky–Tennessee border.
  • E. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:54 a.m.