Triple

T9932240
Position Surface form Disambiguated ID Type / Status
Subject TSIG E192672 entity
Predicate implementedBy P172 FINISHED
Object NSD E537227 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: NSD | Statement: [TSIG, implementedBy, NSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSD
Context triple: [TSIG, implementedBy, 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. NSZ
    NSZ was a Polish nationalist underground military organization that operated during World War II, primarily resisting both Nazi German and Soviet occupation.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b7897081909b28189aa57af250 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228d1620c8190ac7125b268dd6832 completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:43 p.m.