Triple

T16763109
Position Surface form Disambiguated ID Type / Status
Subject ACV E407393 entity
Predicate hasICAOCode P419 FINISHED
Object KACV E407394 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: KACV | Statement: [ACV, hasICAOCode, KACV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KACV
Context triple: [ACV, hasICAOCode, KACV]
  • A. KACV chosen
    KACV is the ICAO airport code for California Redwood Coast–Humboldt County Airport, a public airport serving the Eureka–Arcata region in Northern California.
  • B. KVCV
    KVCV is the ICAO airport code for Southern California Logistics Airport, a major cargo and aircraft maintenance facility located in Victorville, California.
  • C. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • D. KSCA
    KSCA is the governing body for cricket activities and administration in the Indian state of Karnataka.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abee862c819086d9bf01e623a8ce completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52ff9d481909675c7e1f81191dc completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.