Triple

T14319811
Position Surface form Disambiguated ID Type / Status
Subject The Hundred E355051 entity
Predicate genderEqualityFeature P28849 FINISHED
Object parallel men's and women's tournaments 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: parallel men's and women's tournaments | Statement: [The Hundred, genderEqualityFeature, parallel men's and women's tournaments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genderEqualityFeature
Context triple: [The Hundred, genderEqualityFeature, parallel men's and women's tournaments]
  • A. genderEquality chosen
    Indicates that the relationship or action promotes, reflects, or ensures equal rights, opportunities, and treatment for all genders without discrimination.
  • B. genderIntegration
    Indicates the extent to which individuals of different genders are included, mixed, or participate together within a given context or system.
  • C. womenStatus
    Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
  • D. femaleFeature
    Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
  • E. featuredGender
    Indicates that a particular gender is highlighted, emphasized, or given primary focus in a given context or presentation.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883a93548190ac671b001d15d0bd completed April 14, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69de2a9515f4819081aabf251bca5878 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:13 a.m.