Triple

T19960877
Position Surface form Disambiguated ID Type / Status
Subject NS Business Card E479808 entity
Predicate relatedProduct P37 FINISHED
Object NS Flex Business 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 Flex Business | Statement: [NS Business Card, relatedProduct, NS Flex Business]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NS Flex Business
Context triple: [NS Business Card, relatedProduct, NS Flex Business]
  • A. NS Flex chosen
    NS Flex is a flexible Dutch public transport subscription service offered by Nederlandse Spoorwegen that allows travelers to pay monthly for train and other transit use without fixed ticket commitments.
  • B. FLEX
    FLEX is a global electronics manufacturing services and supply chain solutions company formerly known as Flextronics International.
  • C. FLEX
    FLEX is a flexible, demand-responsive bus service operated by the North County Transit District in northern San Diego County, California.
  • D. Echo Flex
    Echo Flex is a compact, plug-in smart speaker from Amazon’s Echo line designed to provide Alexa voice assistant capabilities in small spaces like hallways, bathrooms, and kitchens.
  • E. Flexity product platform
    The Flexity product platform is Bombardier’s family of modular light rail and tram vehicles designed for urban and suburban public transit systems worldwide.
  • 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.