Triple

T13416059
Position Surface form Disambiguated ID Type / Status
Subject Kavieng E313217 entity
Predicate airportICAO P419 FINISHED
Object AYKV E1024267 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: AYKV | Statement: [Kavieng, airportICAO, AYKV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AYKV
Context triple: [Kavieng, airportICAO, AYKV]
  • A. AYKV chosen
    AYKV is the ICAO airport code for Kavieng Airport in Papua New Guinea.
  • B. AYQ
    AYQ is the IATA airport code for Ayers Rock (Connellan) Airport, which serves the Yulara resort area near Uluru in Australia’s Northern Territory.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. AYTO
    AYTO is a reality dating competition series where singles try to identify their predetermined perfect matches to win a shared cash prize.
  • E. AVYA
    AVYA is the stock ticker symbol for Avaya Holdings Corp., a company that provides business communications and collaboration solutions.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.