Triple

T21763838
Position Surface form Disambiguated ID Type / Status
Subject NSD E537227 entity
Predicate hasAbbreviation P43 FINISHED
Object NSD 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: NSD | Statement: [NSD, hasAbbreviation, NSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSD
Context triple: [NSD, hasAbbreviation, NSD]
  • A. NSD chosen
    NSD is the abbreviated name for Russia’s National Settlement Depository, the country’s central securities depository and key financial market infrastructure institution.
  • B. NSR
    NSR is the abbreviation commonly used for the North Staffordshire Railway, a historic British railway company that operated in the Staffordshire region of England.
  • C. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • D. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • E. NS
    NS is the official post-nominal title used by individuals conferred the prestigious Order of National Scientists of the Philippines for their outstanding contributions to science and technology.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.