Triple

T633876
Position Surface form Disambiguated ID Type / Status
Subject Forbes list of the World's 100 Most Powerful Women E15979 entity
Predicate numberOfRankedPeople P17329 FINISHED
Object 100 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: 100 | Statement: [Forbes list of the World's 100 Most Powerful Women, numberOfRankedPeople, 100]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRankedPeople
Context triple: [Forbes list of the World's 100 Most Powerful Women, numberOfRankedPeople, 100]
  • A. rankedAmong
    Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
  • B. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • C. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • D. rankingMember
    Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
  • E. depthRank
    Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69a49defe58c8190bd39ef47c9f660a7 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:35 p.m.