Triple

T9590245
Position Surface form Disambiguated ID Type / Status
Subject Korea Exchange E231396 entity
Predicate hasSegment P3574 FINISHED
Object KOSPI Market E356386 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: KOSPI Market | Statement: [Korea Exchange, hasSegment, KOSPI Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOSPI Market
Context triple: [Korea Exchange, hasSegment, KOSPI Market]
  • A. KOSPI chosen
    KOSPI is South Korea’s main stock market index, tracking the performance of large companies listed on the Korea Exchange.
  • B. KOSDAQ Market
    KOSDAQ Market is South Korea’s secondary stock market, specializing in the listing and trading of small and medium-sized growth and technology companies.
  • C. Korea Exchange (KRX)
    Korea Exchange (KRX) is South Korea’s main securities and derivatives exchange, providing a centralized marketplace for trading stocks, bonds, derivatives, and other financial instruments.
  • D. KSE-100 Index
    The KSE-100 Index is Pakistan’s benchmark stock market index, tracking the performance of the largest and most liquid companies listed on the Pakistan Stock Exchange.
  • E. Tokyo Stock Exchange
    The Tokyo Stock Exchange is Japan's largest securities exchange and one of the world's leading stock markets, where shares of major Japanese and international companies are traded.
  • 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_69d1821ad79c81908fa871ee2893d2f9 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:06 p.m.