Triple

T10880915
Position Surface form Disambiguated ID Type / Status
Subject De Beers E256914 entity
Predicate historicalBusinessModel P5635 FINISHED
Object single-channel marketing system LITERAL 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: single-channel marketing system | Statement: [De Beers, historicalBusinessModel, single-channel marketing system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalBusinessModel
Context triple: [De Beers, historicalBusinessModel, single-channel marketing system]
  • A. businessModelPioneerOf
    Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
  • B. formerBusinessModel chosen
    Indicates that an entity previously operated under a particular business model, but no longer does so.
  • C. historicalEconomicBase
    Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
  • D. hasHistoricIndustry
    Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
  • E. businessModelType
    Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
  • F. None of above.

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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
PD Predicate disambiguation batch_69d70d360c388190a3d829fe8862434f completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:21 p.m.