Triple

T6730292
Position Surface form Disambiguated ID Type / Status
Subject Gwangju Airport E153616 entity
Predicate pushpinLabel P9248 FINISHED
Object KWJ E615926 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: KWJ | Statement: [Gwangju Airport, pushpinLabel, KWJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KWJ
Context triple: [Gwangju Airport, pushpinLabel, KWJ]
  • A. KWJ chosen
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • B. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • C. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • D. KOJC
    KOJC is the ICAO airport code for Johnson County Executive Airport, a public general aviation facility serving the Kansas City metropolitan area in Kansas, USA.
  • E. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:09 p.m.