Triple

T7893450
Position Surface form Disambiguated ID Type / Status
Subject Premium Career E183291 entity
Predicate hasMoreLimited P99 FINISHED
Object business analytics features 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: business analytics features | Statement: [Premium Career, hasMoreLimited, business analytics features]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMoreLimited
Context triple: [Premium Career, hasMoreLimited, business analytics features]
  • A. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • B. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • C. gLimit
    Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
  • D. limitaCon
    Indicates that one entity imposes a restriction, constraint, or limit on another entity or its behavior.
  • E. hasLimitedCorpus
    Indicates that the associated entity possesses only a small or restricted set of available data, texts, or examples for use or analysis.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5 p.m.