Triple

T223590
Position Surface form Disambiguated ID Type / Status
Subject AScX E4267 entity
Predicate relatedIndex P5158 FINISHED
Object AEX E3962 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: AEX | Statement: [AScX, relatedIndex, AEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEX
Context triple: [AScX, relatedIndex, AEX]
  • A. AEX index chosen
    The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AEC
    AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
  • D. AEC
    AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
  • E. XAMS
    XAMS is the Market Identifier Code (MIC) for Euronext Amsterdam, the primary stock exchange in the Netherlands.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a260c3037c8190ba7ddf328f249b74 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35ea15b9c819086b6569a5d19de86 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.