Triple

T14372367
Position Surface form Disambiguated ID Type / Status
Subject KOSPI E356386 entity
Predicate dataVendor P9837 FINISHED
Object Refinitiv E554123 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: Refinitiv | Statement: [KOSPI, dataVendor, Refinitiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Refinitiv
Context triple: [KOSPI, dataVendor, Refinitiv]
  • A. Refinitiv chosen
    Refinitiv is a global provider of financial market data and infrastructure, offering real-time and historical information, analytics, and trading solutions to financial professionals and institutions.
  • B. S&P Global
    S&P Global is a leading financial information and analytics company best known for its credit ratings, market indices, and data services used by investors and institutions worldwide.
  • C. S&P Dow Jones Indices
    S&P Dow Jones Indices is a leading global index provider best known for creating and maintaining major market benchmarks such as the S&P 500 and the Dow Jones Industrial Average.
  • D. Thomson Reuters
    Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
  • E. MSCI Inc.
    MSCI Inc. is a leading global provider of investment decision support tools, including stock indexes, portfolio risk and performance analytics, and ESG research for institutional investors.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.