Triple

T14423164
Position Surface form Disambiguated ID Type / Status
Subject Naver Corporation E357631 entity
Predicate stockExchange P524 FINISHED
Object KOSPI 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 | Statement: [Naver Corporation, stockExchange, KOSPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOSPI
Context triple: [Naver Corporation, stockExchange, KOSPI]
  • A. KOSPI chosen
    KOSPI is South Korea’s main stock market index, tracking the performance of large companies listed on the Korea Exchange.
  • B. 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.
  • C. 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.
  • D. KOSPI index futures
    KOSPI index futures are standardized exchange-traded derivative contracts that allow investors to speculate on or hedge against the future value of South Korea’s benchmark KOSPI stock index.
  • E. 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.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.