Triple

T19598897
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport E470415 entity
Predicate IATAcode P418 FINISHED
Object ICN NE NERFINISHED

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: ICN | Statement: [Incheon International Airport, IATAcode, ICN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICN
Context triple: [Incheon International Airport, IATAcode, ICN]
  • A. ICN
    ICN is a global network of competition authorities that promotes cooperation and convergence in antitrust enforcement and policy.
  • B. ICN
    ICN is the internationally accepted set of rules and recommendations that governs the scientific naming of algae, fungi, and plants.
  • C. ICN chosen
    ICN is the IATA airport code for Incheon International Airport, South Korea’s largest and primary international gateway serving the Seoul metropolitan area.
  • D. ICN
    ICN is the International Council of Nurses, a global federation representing millions of nurses and advocating for the nursing profession and health policy worldwide.
  • E. ICCN
    ICCN is the national authority responsible for managing and protecting protected areas and wildlife in the Democratic Republic of the Congo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.