Triple

T19829
Position Surface form Disambiguated ID Type / Status
Subject Academy of Sciences for the Developing World E394 entity
Predicate sponsors P1807 FINISHED
Object scientific meetings 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: scientific meetings | Statement: [Academy of Sciences for the Developing World, sponsors, scientific meetings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sponsors
Context triple: [Academy of Sciences for the Developing World, sponsors, scientific meetings]
  • A. sportsSponsored
    Indicates that one entity provides financial or material sponsorship to support another entity’s sports-related activities or events.
  • B. sponsorSport
    Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
  • C. promotes
    Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
  • D. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • E. monetaryValueSponsor
    Indicates that a sponsor provides or assigns a specific monetary value (amount of funding) to another entity or activity.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a24703cb988190ad2bc181d27829e4 completed Feb. 28, 2026, 1:38 a.m.
PD Predicate disambiguation batch_69a24650f1f0819081e638fafd18d687 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a24702d4988190a54a4e578b7c919e completed Feb. 28, 2026, 1:38 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.