Triple

T12968501
Position Surface form Disambiguated ID Type / Status
Subject Kamenz E321330 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BZ E695541 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: BZ | Statement: [Kamenz, vehicleRegistrationCode, BZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BZ
Context triple: [Kamenz, vehicleRegistrationCode, BZ]
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZ chosen
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • E. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.