Triple

T7113422
Position Surface form Disambiguated ID Type / Status
Subject Altria Group E165757 entity
Predicate hasSubsidiary P254 FINISHED
Object Helix Innovations E642848 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: Helix Innovations | Statement: [Altria Group, hasSubsidiary, Helix Innovations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helix Innovations
Context triple: [Altria Group, hasSubsidiary, Helix Innovations]
  • A. Helix Innovations chosen
    Helix Innovations is a nicotine products company known for developing and marketing modern oral nicotine pouches and related smokeless alternatives.
  • B. Innoventions
    Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
  • C. SIGA Technologies
    SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
  • D. Keyhole Inc.
    Keyhole Inc. was a pioneering geospatial technology company whose 3D mapping software formed the basis for what became Google Earth.
  • E. Omni-Tech
    Omni-Tech is Columbia Sportswear’s proprietary waterproof-breathable fabric technology designed to keep wearers dry and comfortable in harsh weather conditions.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5ef813c8190bec0ab0cbae430e5 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a325a07c81909bd9a8f5d4461fb9 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:43 p.m.