Triple

T9660433
Position Surface form Disambiguated ID Type / Status
Subject Malaysian Armed Forces E233574 entity
Predicate abbreviation P43 FINISHED
Object MAF
MAF is the unified military organization responsible for the defense and security of Malaysia, encompassing its army, navy, and air force.
 E812717 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: MAF | Statement: [Malaysian Armed Forces, abbreviation, MAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAF
Context triple: [Malaysian Armed Forces, abbreviation, MAF]
  • A. MAF
    MAF is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas collectivity of Saint Martin in the Caribbean.
  • B. MAF
    MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • C. MRAF
    MRAF is the highest rank in the Royal Air Force, equivalent to a five-star air officer and typically held only in wartime or as an honorary appointment.
  • D. MAAIF
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • 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: MAF
Triple: [Malaysian Armed Forces, abbreviation, MAF]
Generated description
MAF is the unified military organization responsible for the defense and security of Malaysia, encompassing its army, navy, and air force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAF
Target entity description: MAF is the unified military organization responsible for the defense and security of Malaysia, encompassing its army, navy, and air force.
  • A. MAF
    MAF is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas collectivity of Saint Martin in the Caribbean.
  • B. MAF
    MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • C. MRAF
    MRAF is the highest rank in the Royal Air Force, equivalent to a five-star air officer and typically held only in wartime or as an honorary appointment.
  • D. MAAIF
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c08d0d0819086426ad6891b18db completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0ff7548190ae438c4a334058ac completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18a8e0fbc8190912439815bab4677 completed April 4, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69d18afe54c88190846a873443aa56ef completed April 4, 2026, 10:04 p.m.
Created at: March 30, 2026, 8:14 p.m.