Triple

T22985352
Position Surface form Disambiguated ID Type / Status
Subject Lipnica Wielka E571590 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KNT 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: KNT | Statement: [Lipnica Wielka, vehicleRegistrationCode, KNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNT
Context triple: [Lipnica Wielka, vehicleRegistrationCode, KNT]
  • A. KNT chosen
    KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • B. KNT
    KNT is the National Rail station code for Kenton railway station in northwest London, England.
  • C. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • D. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • E. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.