Triple

T15031494
Position Surface form Disambiguated ID Type / Status
Subject Henderson–Oxford Airport E378360 entity
Predicate ICAO code P419 FINISHED
Object 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.
E1134419 NE FINISHED

How this triple was built (4 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: KHNZ | Statement: [Henderson–Oxford Airport, ICAO code, KHNZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KHNZ
Context triple: [Henderson–Oxford Airport, ICAO code, KHNZ]
  • A. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • B. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • C. 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.
  • D. KNDZ
    KNDZ is the ICAO airport code for Naval Air Station Whiting Field South, a U.S. Navy air training facility in Florida.
  • E. KDHN
    KDHN is the ICAO airport code for Dothan Regional Airport in Dothan, Alabama, United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KHNZ
Triple: [Henderson–Oxford Airport, ICAO code, KHNZ]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KHNZ
Target entity description: 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.
  • A. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • B. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • C. 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.
  • D. KNDZ
    KNDZ is the ICAO airport code for Naval Air Station Whiting Field South, a U.S. Navy air training facility in Florida.
  • E. KDHN
    KDHN is the ICAO airport code for Dothan Regional Airport in Dothan, Alabama, United States.
  • F. None of above. chosen

Provenance (5 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddb46888190b1d2fe2992fc120b completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9efce5dc8190909b891c476d5291 completed May 9, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69fea2bd5d2c8190b26d2393cd8abb3e completed May 9, 2026, 2:58 a.m.
Created at: April 10, 2026, 2:59 a.m.