Triple

T9455490
Position Surface form Disambiguated ID Type / Status
Subject Swedish National Audit Office E228003 entity
Predicate memberOf P10 FINISHED
Object EUROSAI E543240 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: EUROSAI | Statement: [Swedish National Audit Office, memberOf, EUROSAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EUROSAI
Context triple: [Swedish National Audit Office, memberOf, EUROSAI]
  • A. EUROSAI chosen
    EUROSAI is the regional organization of European supreme audit institutions that promotes cooperation, knowledge sharing, and capacity building in public-sector auditing across Europe.
  • B. CSIEA
    CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • C. IASA
    IASA is a major 1994 U.S. federal education law that reauthorized and reformed the Elementary and Secondary Education Act to raise academic standards and accountability in public schools.
  • D. ESCAC
    ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
  • E. ESRA
    ESRA is a U.S. federal law that overhauled education research and statistics, creating the Institute of Education Sciences to improve the quality and use of evidence in education policy and practice.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122849fec81908a8e7363d6bab4ed completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:52 p.m.