Triple

T16629184
Position Surface form Disambiguated ID Type / Status
Subject Defence Academy of the United Kingdom E404029 entity
Predicate hasAbbreviation P43 FINISHED
Object DA E404029 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: DA | Statement: [Defence Academy of the United Kingdom, hasAbbreviation, DA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DA
Context triple: [Defence Academy of the United Kingdom, hasAbbreviation, DA]
  • A. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • B. DA
    DA is the vehicle registration code for the German city of Darmstadt and its surrounding district in the state of Hesse.
  • C. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • D. DA chosen
    DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
  • E. DA
    DA is the Philippine government agency responsible for promoting agricultural development, ensuring food security, and supporting farmers and fisherfolk nationwide.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e399988190904e56eb3c490eed completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.