Triple

T6803311
Position Surface form Disambiguated ID Type / Status
Subject Myanmar Air Force E156238 entity
Predicate abbreviation P43 FINISHED
Object MAF
MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
E620247 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: [Myanmar Air Force, abbreviation, MAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAF
Context triple: [Myanmar Air Force, 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. 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.
  • C. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • D. MAM
    MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
  • E. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • 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: [Myanmar Air Force, abbreviation, MAF]
Generated description
MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAF
Target entity description: MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • 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. 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.
  • C. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • D. MAM
    MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
  • E. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e8d7888190a837620967a150e3 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9da0ac8190878799d4780f9b28 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b88b27c8190b803f0e9f6402c44 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c95299c8190b149082ede7da88c completed March 28, 2026, 12:11 a.m.
Created at: March 27, 2026, 2:16 p.m.