Triple

T16048005
Position Surface form Disambiguated ID Type / Status
Subject Böblingen E389273 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BB E116437 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: BB | Statement: [Böblingen, vehicleRegistrationCode, BB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BB
Context triple: [Böblingen, vehicleRegistrationCode, BB]
  • A. BB chosen
    BB is the vehicle registration code used on license plates for the German town and district of Böblingen in the state of Baden-Württemberg.
  • B. BB
    BB is a UK postcode area covering parts of East Lancashire, including towns such as Blackburn, Burnley, and Colne.
  • C. BB
    BB is the stock ticker symbol for BlackBerry Limited, a Canadian company known for its evolution from pioneering smartphones to focusing on cybersecurity and enterprise software solutions.
  • D. .bb
    .bb is the country code top-level domain (ccTLD) assigned to Barbados for use in internet addresses associated with the country.
  • E. CBb
    CBb is the Dutch Trade and Industry Appeals Tribunal, a specialized administrative court in the Netherlands that handles disputes in economic and regulatory matters.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18360464881909fd4d3bcb4ffb7f5 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.