Triple

T11524922
Position Surface form Disambiguated ID Type / Status
Subject Seoul–Sydney E273267 entity
Predicate typicalOriginAirportIATA P45614 FINISHED
Object ICN E470414 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: ICN | Statement: [Seoul–Sydney, typicalOriginAirportIATA, ICN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICN
Context triple: [Seoul–Sydney, typicalOriginAirportIATA, 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. ICCN
    ICCN is the national authority responsible for managing and protecting protected areas and wildlife in the Democratic Republic of the Congo.
  • E. ICCR
    ICCR is an autonomous Indian government organization dedicated to promoting the country’s cultural diplomacy and fostering cultural exchange with nations around the world.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6855270b08190bdb175a8dede176e completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.