Triple

T22674329
Position Surface form Disambiguated ID Type / Status
Subject International Competition Network E560305 entity
Predicate abbreviation P43 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: [International Competition Network, abbreviation, ICN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICN
Context triple: [International Competition Network, abbreviation, ICN]
  • A. ICN chosen
    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
    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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178229e908190b696d14a93c11344 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.