Triple

T8848382
Position Surface form Disambiguated ID Type / Status
Subject Naumburg E210567 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BLK E189699 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: BLK | Statement: [Naumburg, vehicleRegistrationCode, BLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLK
Context triple: [Naumburg, vehicleRegistrationCode, BLK]
  • A. BLK chosen
    BLK is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • B. BLK
    BLK is the three-letter IATA airport code assigned to Blackpool Airport in Lancashire, England.
  • C. Balck
    Balck is a German surname most notably associated with Hermann Balck, a prominent Wehrmacht general during World War II.
  • D. BLQ
    BLQ is the three-letter IATA airport code for Bologna Guglielmo Marconi Airport, serving the city of Bologna in northern Italy.
  • E. BLC
    BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89bd3ef48190a6a2efff18db4dbd completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:49 p.m.