Triple

T9590248
Position Surface form Disambiguated ID Type / Status
Subject Korea Exchange E231396 entity
Predicate hasSegment P3574 FINISHED
Object KONEX Market 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 Market | Statement: [Korea Exchange, hasSegment, KONEX Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KONEX Market
Context triple: [Korea Exchange, hasSegment, KONEX Market]
  • 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. Connections Marketplace
    Connections Marketplace is an Amazon Publisher Services platform that enables publishers to access and manage demand from multiple advertising partners through a unified, streamlined marketplace.
  • C. Medium Explorer (MIDEX)
    Medium Explorer (MIDEX) is a class of NASA astrophysics missions designed to conduct focused, mid-scale space science investigations with moderate budgets and mission scopes.
  • 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. World Bazaar
    World Bazaar is a covered, Victorian-style shopping and dining area in Tokyo Disneyland that serves as that park’s equivalent to Main Street, U.S.A.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f32e688190bb13bccfa5031f16 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:06 p.m.