Triple

T13458058
Position Surface form Disambiguated ID Type / Status
Subject Rudloe Manor E311283 entity
Predicate usedBy P260 FINISHED
Object Air Ministry E17788 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: Air Ministry | Statement: [Rudloe Manor, usedBy, Air Ministry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Air Ministry
Context triple: [Rudloe Manor, usedBy, Air Ministry]
  • A. Air Ministry chosen
    The Air Ministry was the British government department responsible for managing and overseeing the Royal Air Force and national air policy in the first half of the 20th century.
  • B. Army Ministry
    The Army Ministry was the government department of the Empire of Japan responsible for administering and overseeing the Imperial Japanese Army.
  • C. Reich Air Ministry
    The Reich Air Ministry was the central government department of Nazi Germany responsible for overseeing the Luftwaffe and all aspects of aviation policy, production, and operations.
  • D. Ministry of Defence
    The Ministry of Defence is the United Kingdom government department responsible for implementing defence policy and overseeing the armed forces.
  • E. 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.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.