Triple

T13916875
Position Surface form Disambiguated ID Type / Status
Subject Berhampore E334644 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WB E162693 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: WB | Statement: [Berhampore, vehicleRegistrationCode, WB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WB
Context triple: [Berhampore, vehicleRegistrationCode, WB]
  • A. WB
    WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
  • B. WB chosen
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • C. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • D. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • E. WK
    WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.