Triple

T22508514
Position Surface form Disambiguated ID Type / Status
Subject Trzebinia E556450 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KCH 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: KCH | Statement: [Trzebinia, vehicleRegistrationCode, KCH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCH
Context triple: [Trzebinia, vehicleRegistrationCode, KCH]
  • A. KCH chosen
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • B. KCH
    KCH is the IATA airport code for Kuching International Airport, the main air gateway to Kuching in Sarawak, Malaysia.
  • C. KCH
    KCH is the postnominal abbreviation for Knight Commander of the Royal Guelphic Order, a distinguished chivalric honor historically associated with the House of Hanover.
  • D. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • E. KCHO
    KCHO is the ICAO airport code for Charlottesville–Albemarle Airport, a public airport serving Charlottesville and Albemarle County in Virginia, United States.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.