Triple

T14444637
Position Surface form Disambiguated ID Type / Status
Subject S.W.2d E358170 entity
Predicate publisher P29 FINISHED
Object Thomson Reuters E13647 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: Thomson Reuters | Statement: [S.W.2d, publisher, Thomson Reuters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomson Reuters
Context triple: [S.W.2d, publisher, Thomson Reuters]
  • A. Thomson Reuters chosen
    Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
  • B. Wolters Kluwer
    Wolters Kluwer is a global information services and publishing company specializing in professional solutions for the legal, tax, accounting, health, and regulatory sectors.
  • C. 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.
  • D. Refinitiv
    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.
  • E. Pearson plc
    Pearson plc is a British multinational publishing and education company known for its global textbook, assessment, and digital learning services.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:19 a.m.