Triple

T15728337
Position Surface form Disambiguated ID Type / Status
Subject Biberach an der Riß E381274 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BC E864084 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: BC | Statement: [Biberach an der Riß, vehicleRegistrationCode, BC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BC
Context triple: [Biberach an der Riß, vehicleRegistrationCode, BC]
  • A. BC
    BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
  • B. BC
    BC is the Business Constituency, a group within the ICANN community that represents the interests of commercial Internet users in domain name policy development.
  • C. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • D. BC
    BC is the commonly used abbreviation for Brooklyn College, a senior college of the City University of New York located in Brooklyn.
  • E. BC chosen
    BC is the vehicle registration code for Bacău County in Romania.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82faa5508190a28e2a224d4a4a06 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.