Triple

T21849541
Position Surface form Disambiguated ID Type / Status
Subject Kualanamu International Airport E539466 entity
Predicate IATAcode P418 FINISHED
Object KNO 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: KNO | Statement: [Kualanamu International Airport, IATAcode, KNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNO
Context triple: [Kualanamu International Airport, IATAcode, KNO]
  • A. KNO chosen
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • C. KN
    KN is the vehicle registration code assigned to the city of Konstanz and its surrounding district in the German state of Baden-Württemberg.
  • D. KN
    KN is the ISO 3166-1 alpha-2 country code for Saint Kitts and Nevis, a dual-island nation in the Caribbean.
  • E. KN
    KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd582ca48190890648fdee2a0c6e completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.