Triple

T18360995
Position Surface form Disambiguated ID Type / Status
Subject Tiksi Airport E439913 entity
Predicate hasIATACode P2569 FINISHED
Object IKS 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: IKS | Statement: [Tiksi Airport, hasIATACode, IKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKS
Context triple: [Tiksi Airport, hasIATACode, IKS]
  • A. IKS chosen
    IKS is the IATA airport code for Tiksi Airport, which serves the settlement of Tiksi in the Sakha Republic of Russia.
  • B. IKS
    IKS is a Fraunhofer research institute focused on developing safe, reliable, and intelligent cognitive systems and AI technologies for industry and society.
  • C. IXS
    IXS is the three-letter IATA airport code assigned to Silchar Airport in Assam, India.
  • D. IK
    IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • E. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516db045c8190b20c209225a53b9a completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.