Triple

T8226163
Position Surface form Disambiguated ID Type / Status
Subject United States Board on Geographic Names E192177 entity
Predicate shortName P43 FINISHED
Object BGN E36804 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: BGN | Statement: [United States Board on Geographic Names, shortName, BGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BGN
Context triple: [United States Board on Geographic Names, shortName, BGN]
  • A. BGN chosen
    BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
  • B. BGN
    BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
  • C. BGN
    BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
  • 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 (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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fc10f48190b7e241c89885a478 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34ca59ec8190b611681ec9dfd97f completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:45 p.m.