Triple

T15631838
Position Surface form Disambiguated ID Type / Status
Subject KONEX E375832 entity
Predicate abbreviation P43 FINISHED
Object KONEX E375832 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 | Statement: [KONEX, abbreviation, KONEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KONEX
Context triple: [KONEX, abbreviation, KONEX]
  • A. KONEX chosen
    KONEX is a South Korean stock market dedicated primarily to facilitating capital raising and trading for small and medium-sized enterprises and startups.
  • B. Konex Foundation
    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.
  • C. The Kinection
    The Kinection is an R&B album by American singer Omarion that showcases his mature sound and contemporary production.
  • D. Kennex
    Kennex is a surname most notably associated with the fictional detective John Kennex from the science fiction television series "Almost Human."
  • E. Telekon
    Telekon is a 1980 synth-pop album by Gary Numan that continued his pioneering electronic sound with darker, more atmospheric themes.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f44f0b881909ce36823e4314799 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.