Triple

T20115424
Position Surface form Disambiguated ID Type / Status
Subject BV E490446 entity
Predicate hasAbbreviationForm P43 FINISHED
Object BV 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: BV | Statement: [BV, hasAbbreviationForm, BV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BV
Context triple: [BV, hasAbbreviationForm, BV]
  • A. BV chosen
    BV is the two-letter ISO 3166 country code assigned to Bouvet Island, a remote uninhabited Norwegian territory in the South Atlantic Ocean.
  • B. BV
    BV is the vehicle registration code used on license plates for vehicles registered in Brașov County, Romania.
  • C. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • D. BVC
    BVC is the Indian Railways station code for Bhavnagar Terminus railway station in Gujarat, India.
  • E. BVL
    BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e3f2288190840d1eb431ac9a1b completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.