Triple

T17112302
Position Surface form Disambiguated ID Type / Status
Subject EYKA E415254 entity
Predicate ICAOcode P419 FINISHED
Object EYKA E415254 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: EYKA | Statement: [EYKA, ICAOcode, EYKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EYKA
Context triple: [EYKA, ICAOcode, EYKA]
  • A. EYKA chosen
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • B. EYD
    EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
  • C. EYCI
    EYCI is the commonly used abbreviation for East York Collegiate Institute, a public secondary school in Toronto, Ontario, Canada.
  • D. EKKA
    EKKA was a Greek World War II resistance organization that played a significant role in the anti-Axis struggle and post-liberation political developments.
  • E. EKKA
    EKKA is the ICAO airport code assigned to Karup Air Base in Denmark.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014145f7988190803d5c5e4f2705b0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.