Triple

T16268220
Position Surface form Disambiguated ID Type / Status
Subject Orlando Executive Airport E394927 entity
Predicate ICAO code P419 FINISHED
Object KORL E392406 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: KORL | Statement: [Orlando Executive Airport, ICAO code, KORL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KORL
Context triple: [Orlando Executive Airport, ICAO code, KORL]
  • A. KORL chosen
    KORL is the ICAO airport code for Orlando Executive Airport, a public airport serving the Orlando, Florida area.
  • B. KORH
    KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
  • C. KOR
    KOR is the ICAO airline designator assigned to Air Koryo, the state-owned national carrier of North Korea.
  • D. KOR
    KOR is the FIFA country code representing the South Korea national football team in international competitions.
  • E. Kor
    Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245ca5c708190a1e98ab37740c032 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bb1d64819080f007656307f58b completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.