Triple

T13040709
Position Surface form Disambiguated ID Type / Status
Subject RAF SIB E327181 entity
Predicate disestablishedBy P133 FINISHED
Object Ministry of Defence E242912 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: Ministry of Defence | Statement: [RAF SIB, disestablishedBy, Ministry of Defence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ministry of Defence
Context triple: [RAF SIB, disestablishedBy, Ministry of Defence]
  • A. Ministry of Defence chosen
    The Ministry of Defence is the United Kingdom government department responsible for implementing defence policy and overseeing the armed forces.
  • B. Ministry of Defence
    The Ministry of Defence is the central government authority responsible for managing the Czech Republic’s national defense and armed forces.
  • C. Ministry of Defence
    The Ministry of Defence is the Indian government ministry responsible for national defence policy, the armed forces, and related agencies and operations.
  • D. Ministry of Defense
    The Ministry of Defense is a government department responsible for implementing national defense policy and overseeing a country's armed forces.
  • E. Ministry of Defense
    The Ministry of Defense is Japan’s central government agency responsible for national defense policy, the Self-Defense Forces, and overall military administration.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fbaea8819080ca249159d6c125 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:56 p.m.