Triple

T11731207
Position Surface form Disambiguated ID Type / Status
Subject Ploom TECH E278899 entity
Predicate competitor P1375 FINISHED
Object IQOS E278898 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: IQOS | Statement: [Ploom TECH, competitor, IQOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IQOS
Context triple: [Ploom TECH, competitor, IQOS]
  • A. IQOS chosen
    IQOS is a heated tobacco product developed by Philip Morris International that offers an alternative to traditional cigarette smoking by warming tobacco instead of burning it.
  • B. NJOY
    NJOY is an American e-cigarette and vaping brand known for producing electronic nicotine delivery systems as an alternative to traditional cigarettes.
  • C. Juul
    Juul is a popular but controversial electronic cigarette brand known for its sleek USB-like design and significant role in the rise of youth vaping.
  • D. Swisher
    Swisher is the surname of American actress JoAnna Garcia Swisher, known for her roles in television series such as "Reba" and "Sweet Magnolias."
  • E. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d94de08190a7184cf26d8cb94e completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83f98fc481908015df3c4e5d7ed3 completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.