Triple

T4628216
Position Surface form Disambiguated ID Type / Status
Subject Mario Bunge E101149 entity
Predicate awardReceived P11 FINISHED
Object Konex Award E370365 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 Award | Statement: [Mario Bunge, awardReceived, Konex Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konex Award
Context triple: [Mario Bunge, awardReceived, Konex Award]
  • A. Diamond Konex Award chosen
    The Diamond Konex Award is a prestigious Argentine lifetime achievement honor recognizing the most outstanding figures in various cultural and professional fields over a decade.
  • 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. Quadriga award
    The Quadriga award was a German prize given annually to individuals or groups for their visionary leadership and contributions to political, economic, and cultural change.
  • D. Ness Award
    The Ness Award is a distinction conferred by the Royal Geographical Society recognizing outstanding contributions to the popular understanding of geography and the wider public promotion of the discipline.
  • E. KNN Award
    The KNN Award is an audience-voted prize presented at the Busan International Film Festival, recognizing popular films among festival attendees.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a2e9780819081add547c760abc9 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab4f4808190920e420f566dec9b completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.