Triple

T22415961
Position Surface form Disambiguated ID Type / Status
Subject Refinitiv E554123 entity
Predicate product P490 FINISHED
Object Refinitiv Elektron NE NERFINISHED

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 Elektron | Statement: [Refinitiv, product, Refinitiv Elektron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Refinitiv Elektron
Context triple: [Refinitiv, product, Refinitiv Elektron]
  • 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. Bloomberg Terminal
    Bloomberg Terminal is a proprietary computer software system that provides real-time financial data, news, analytics, and trading tools widely used by professionals in global markets.
  • C. S&P Global 1200
    The S&P Global 1200 is a broad, multinational equity index designed to represent the performance of major stock markets around the world.
  • D. Diebold
    Diebold is a Germanic given name and surname, historically used as a variant of Theobald.
  • E. Quest Electronics
    Quest Electronics was a company known for producing early hobbyist microcomputer kits and related electronic products in the late 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.