Triple

T633916
Position Surface form Disambiguated ID Type / Status
Subject Forbes list of the World's 100 Most Powerful Women E15979 entity
Predicate aimsToHighlight P31 FINISHED
Object global female leadership 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: global female leadership | Statement: [Forbes list of the World's 100 Most Powerful Women, aimsToHighlight, global female leadership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsToHighlight
Context triple: [Forbes list of the World's 100 Most Powerful Women, aimsToHighlight, global female leadership]
  • A. aimsToProvide
    Indicates that one entity intends or is designed to supply, deliver, or make available something to another entity.
  • B. aimsToExplain
    Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
  • C. highlights
    Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
  • D. aimsToBalance
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • E. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d030c648190ba1a02301b45f694 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.