Triple

T1144064
Position Surface form Disambiguated ID Type / Status
Subject XAMS E23522 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: [XAMS, relatedIndex, AEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEX
Context triple: [XAMS, 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. EXPE
    EXPE is the stock ticker symbol for Expedia Group, a major American online travel company that operates brands like Expedia.com, Hotels.com, and Vrbo.
  • C. EXS
    EXS is the ICAO airline designator used for Jet2.com, a British low-cost leisure airline based in the United Kingdom.
  • D. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • E. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc5008d8819095c1ffb5db5b4911 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b31ed08190a1647af9af1f2648 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.