Triple

T20467437
Position Surface form Disambiguated ID Type / Status
Subject BGH E502090 entity
Predicate shortName P43 FINISHED
Object BGH NE NERFINISHED

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: BGH | Statement: [BGH, shortName, BGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BGH
Context triple: [BGH, shortName, BGH]
  • A. BGH chosen
    BGH is the highest court of ordinary jurisdiction in Germany, responsible for final appeals in civil and criminal cases.
  • B. BGH
    BGH is the National Rail station code for Brighouse railway station in West Yorkshire, England.
  • C. HGH
    HGH is the IATA airport code for Hangzhou Xiaoshan International Airport, the main international airport serving Hangzhou in eastern China.
  • D. B.G.
    B.G. is an American rapper from New Orleans, best known as a former member of the Hot Boys and an early standout artist on the Cash Money Records label.
  • E. BG
    BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.