Triple

T11045813
Position Surface form Disambiguated ID Type / Status
Subject New Zealand regulatory agencies E261132 entity
Predicate include P1393 FINISHED
Object Serious Fraud Office E802731 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: Serious Fraud Office | Statement: [New Zealand regulatory agencies, include, Serious Fraud Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serious Fraud Office
Context triple: [New Zealand regulatory agencies, include, Serious Fraud Office]
  • A. Serious Fraud Office
    The Serious Fraud Office is a UK government agency responsible for investigating and prosecuting serious or complex fraud, bribery, and corruption cases.
  • B. Serious Fraud Office (New Zealand) chosen
    The Serious Fraud Office (New Zealand) is a specialist government agency responsible for investigating and prosecuting serious or complex financial crime and corruption in New Zealand.
  • C. European Anti-Fraud Office
    The European Anti-Fraud Office (OLAF) is an EU body responsible for investigating fraud, corruption, and other illegal activities affecting the European Union’s financial interests.
  • D. Economic Crime Directorate
    The Economic Crime Directorate is a specialist unit of the City of London Police responsible for investigating and combating complex financial and economic crimes in the UK’s financial center.
  • E. Anti-Corruption Foundation
    The Anti-Corruption Foundation is a Russian non-profit organization known for investigating and exposing high-level government corruption and promoting political transparency.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982f7e688190b3f0c249cd9b1a3e completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9f180688190ab2d1142b30a2836 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.