Triple

T8232059
Position Surface form Disambiguated ID Type / Status
Subject Mando de Adiestramiento y Doctrina E192316 entity
Predicate shortName P43 FINISHED
Object MADOC
MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
 E720629 NE FINISHED

How this triple was built (4 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, shortName, MADOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MADOC
Context triple: [Mando de Adiestramiento y Doctrina, shortName, MADOC]
  • A. MADOC
    MADOC is the state agency responsible for overseeing and managing the prison and correctional system in Massachusetts.
  • B. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • C. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • D. 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.
  • E. Mundaneum
    Mundaneum was an early 20th-century documentation and knowledge organization center in Belgium, envisioned as a universal repository of the world’s information and often seen as a precursor to modern information science and the internet.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MADOC
Triple: [Mando de Adiestramiento y Doctrina, shortName, MADOC]
Generated description
MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MADOC
Target entity description: MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
  • A. MADOC
    MADOC is the state agency responsible for overseeing and managing the prison and correctional system in Massachusetts.
  • B. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • C. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • D. 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.
  • E. Mundaneum
    Mundaneum was an early 20th-century documentation and knowledge organization center in Belgium, envisioned as a universal repository of the world’s information and often seen as a precursor to modern information science and the internet.
  • F. None of above. chosen

Provenance (5 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_69cd34e77fd08190a76f81de96d4e605 completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd37a290508190b598f96220056041 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4eb519608190b5d0f534170214b5 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:46 p.m.