Triple

T19601195
Position Surface form Disambiguated ID Type / Status
Subject Kenton station E470478 entity
Predicate hasStationCode P1289 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: [Kenton station, hasStationCode, KNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNT
Context triple: [Kenton station, hasStationCode, KNT]
  • A. KNT
    KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • B. KNT chosen
    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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407f1fd88190aa82c4c96f755584 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.