Triple

T19841302
Position Surface form Disambiguated ID Type / Status
Subject Kirchberg in Tirol E476734 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object KB 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: KB | Statement: [Kirchberg in Tirol, hasVehicleRegistrationCode, KB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KB
Context triple: [Kirchberg in Tirol, hasVehicleRegistrationCode, KB]
  • A. KB chosen
    KB is a distinct entity from Kt, likely representing a separate concept, object, or identifier within the same domain.
  • B. KBKF
    KBKF is the ICAO airport code for Buckley Space Force Base, a U.S. military installation and airfield located in Aurora, Colorado.
  • C. k_B
    k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
  • D. KBKW
    KBKW is the ICAO airport code for Raleigh County Memorial Airport in Beckley, West Virginia, United States.
  • E. KBIG
    KBIG is a Los Angeles-area FM radio station, best known as 104.3 MYfm, that features a hot adult contemporary music format.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.