Triple

T299922
Position Surface form Disambiguated ID Type / Status
Subject Macintosh LC series E6174 entity
Predicate marketingPosition P1850 FINISHED
Object more affordable alternative to Macintosh II line 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: more affordable alternative to Macintosh II line | Statement: [Macintosh LC series, marketingPosition, more affordable alternative to Macintosh II line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marketingPosition
Context triple: [Macintosh LC series, marketingPosition, more affordable alternative to Macintosh II line]
  • A. marketPosition chosen
    Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
  • B. leadershipPosition
    Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
  • C. brandPositioning
    Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
  • D. positionInIndustry
    Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
  • E. subjectPosition
    Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea2fba548190a5aeb1597dca96bd completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e93aff048190a633c8ae2b76a41f completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.