Triple

T1503627
Position Surface form Disambiguated ID Type / Status
Subject Tandberg E33850 entity
Predicate stockExchange P524 FINISHED
Object Oslo Stock Exchange E152459 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: Oslo Stock Exchange | Statement: [Tandberg, stockExchange, Oslo Stock Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Stock Exchange
Context triple: [Tandberg, stockExchange, Oslo Stock Exchange]
  • A. Oslo Stock Exchange chosen
    The Oslo Stock Exchange is Norway's main securities market, where shares, bonds, and other financial instruments are traded.
  • B. Nasdaq Stockholm
    Nasdaq Stockholm is Sweden’s primary stock exchange, hosting the trading of shares in major Swedish and Nordic companies.
  • C. Nasdaq Helsinki
    Nasdaq Helsinki is Finland’s primary stock exchange, hosting the trading of major Finnish companies and other securities.
  • D. Nasdaq Copenhagen
    Nasdaq Copenhagen is Denmark’s primary securities exchange, where shares of major Danish companies such as Danske Bank are listed and traded.
  • E. Euronext
    Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872fae4c81908e7d6961e6c5fa96 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb578e4819082d254462e10e4f0 completed March 8, 2026, 6:52 a.m.
Created at: March 4, 2026, 7:24 p.m.