Triple

T1144073
Position Surface form Disambiguated ID Type / Status
Subject XAMS E23522 entity
Predicate hasRegulatoryJurisdiction P808 FINISHED
Object AFM E23525 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: AFM | Statement: [XAMS, hasRegulatoryJurisdiction, AFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFM
Context triple: [XAMS, hasRegulatoryJurisdiction, AFM]
  • A. AFM chosen
    AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
  • B. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • C. ATF
    ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
  • 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_69a4bf0ecd448190affb5c24c3520732 completed March 1, 2026, 10:34 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.