Triple

T17943502
Position Surface form Disambiguated ID Type / Status
Subject Regulation 39B E448642 entity
Predicate confersPowerOn P7884 FINISHED
Object Home Office NE NERFINISHED

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: Home Office | Statement: [Regulation 39B, confersPowerOn, Home Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Office
Context triple: [Regulation 39B, confersPowerOn, Home Office]
  • A. Home Office chosen
    The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
  • B. Office Office
    Office Office is an Indian satirical television series known for its humorous take on government bureaucracy and corruption, starring Pankaj Kapur in the lead role.
  • C. One Office
    One Office is an integrated organizational model used in the UN’s “Delivering as One” approach to streamline internal operations and support more coherent, efficient country-level work.
  • D. Home Office headquarters
    The Home Office headquarters is the central administrative complex in London that houses the UK government department responsible for immigration, security, and law and order.
  • E. Office Space
    Office Space is a 1999 cult-classic workplace comedy film that satirizes corporate office culture and the frustrations of white-collar employees.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.