Triple

T8232098
Position Surface form Disambiguated ID Type / Status
Subject Mando de Adiestramiento y Doctrina E192316 entity
Predicate abbreviation P43 FINISHED
Object MADOC E720629 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: MADOC | Statement: [Mando de Adiestramiento y Doctrina, abbreviation, MADOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MADOC
Context triple: [Mando de Adiestramiento y Doctrina, abbreviation, MADOC]
  • A. MADOC
    MADOC is the state agency responsible for overseeing and managing the prison and correctional system in Massachusetts.
  • B. MADOC chosen
    MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
  • C. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • D. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • E. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7824a6c48190a3abb76c4c3dcc71 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67f7dcec81909b74fd2da3609fc3 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:46 p.m.