Triple

T11745166
Position Surface form Disambiguated ID Type / Status
Subject Bielefeld E279260 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BI E856008 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: BI | Statement: [Bielefeld, vehicleRegistrationCode, BI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BI
Context triple: [Bielefeld, vehicleRegistrationCode, BI]
  • A. BI
    BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • B. BI
    BI is the vehicle registration code used on license plates for the city of Bihać in Bosnia and Herzegovina.
  • C. BI chosen
    BI is the vehicle registration code used on license plates for the Italian city and province of Biella.
  • D. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.