Triple

T8586406
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Agriculture, Animal Industry and Fisheries (Uganda) E203315 entity
Predicate usesAcronym P43 FINISHED
Object MAAIF E746122 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: MAAIF | Statement: [Ministry of Agriculture, Animal Industry and Fisheries (Uganda), usesAcronym, MAAIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAAIF
Context triple: [Ministry of Agriculture, Animal Industry and Fisheries (Uganda), usesAcronym, MAAIF]
  • A. MAAIF chosen
    MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • B. MAA
    MAA is the acronym for the Maryland Aviation Administration, the state agency that oversees and manages Maryland’s public-use airports, including Baltimore/Washington International Thurgood Marshall Airport.
  • C. MAA
    MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
  • D. 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.
  • E. MAF
    MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457be9b88190bd9a2fc32350c31e completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb9716948190b0eb61ddf25fb333 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:22 p.m.