Triple

T10413366
Position Surface form Disambiguated ID Type / Status
Subject SAS E245449 entity
Predicate stockExchangeListing P524 FINISHED
Object Nasdaq Copenhagen E102258 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: Nasdaq Copenhagen | Statement: [SAS, stockExchangeListing, Nasdaq Copenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasdaq Copenhagen
Context triple: [SAS, stockExchangeListing, Nasdaq Copenhagen]
  • A. Nasdaq Copenhagen chosen
    Nasdaq Copenhagen is Denmark’s primary securities exchange, where shares of major Danish companies such as Danske Bank are listed and traded.
  • B. Nasdaq Nordic
    Nasdaq Nordic is a regional stock exchange group that operates several securities markets across the Nordic and Baltic countries under the Nasdaq brand.
  • C. Nasdaq Stockholm
    Nasdaq Stockholm is Sweden’s primary stock exchange, hosting the trading of shares in major Swedish and Nordic companies.
  • D. Nasdaq Helsinki
    Nasdaq Helsinki is Finland’s primary stock exchange, hosting the trading of major Finnish companies and other securities.
  • E. Oslo Stock Exchange
    The Oslo Stock Exchange is Norway's main securities market, where shares, bonds, and other financial instruments are traded.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f7bfce881908239cbb0915a5b81 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:10 p.m.