Triple

T15536722
Position Surface form Disambiguated ID Type / Status
Subject Diamond Konex Award E370365 entity
Predicate organizer P123 FINISHED
Object Konex Foundation E1162472 NE 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: Konex Foundation | Statement: [Diamond Konex Award, organizer, Konex Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konex Foundation
Context triple: [Diamond Konex Award, organizer, Konex Foundation]
  • A. Konex Foundation chosen
    The Konex Foundation is an Argentine cultural organization renowned for promoting and honoring excellence in the arts, sciences, and other fields through prestigious awards and initiatives.
  • B. KONEX
    KONEX is a South Korean stock market dedicated primarily to facilitating capital raising and trading for small and medium-sized enterprises and startups.
  • C. Innoventions
    Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
  • D. Technoseum
    Technoseum is a major museum of technology and social history in Mannheim, Germany, showcasing the development of industry, science, and everyday life.
  • E. Oki Foundation
    Oki Foundation is a philanthropic organization focused on charitable and community initiatives, established by technology executive and philanthropist Scott Oki.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4556ad008190a411ccd3ef0d1e89 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:06 a.m.