Triple

T19960832
Position Surface form Disambiguated ID Type / Status
Subject NS Flex E479807 entity
Predicate brand P1500 FINISHED
Object NS 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: NS | Statement: [NS Flex, brand, NS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NS
Context triple: [NS Flex, brand, NS]
  • A. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • B. NS chosen
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • C. 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.
  • D. NS
    NS is the vehicle registration code for the city of Novi Sad in Serbia.
  • E. SN
    SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af4520c81909986a47289ba801e completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.