Triple

T14247310
Position Surface form Disambiguated ID Type / Status
Subject M1 E353168 entity
Predicate operator P179 FINISHED
Object BKV E349652 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: BKV | Statement: [M1, operator, BKV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKV
Context triple: [M1, operator, BKV]
  • A. BKV chosen
    BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
  • B. KBV
    KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
  • C. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • D. BKL
    BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • E. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de629464f88190817b190731bab156 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282571ec819080d187ecec3ed925 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.