Triple

T8586405
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Agriculture, Animal Industry and Fisheries (Uganda) E203315 entity
Predicate shortName P43 FINISHED
Object MAAIF
MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
E746122 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: MAAIF | Statement: [Ministry of Agriculture, Animal Industry and Fisheries (Uganda), shortName, 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), shortName, MAAIF]
  • A. 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.
  • B. MAA
    MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. 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.
  • D. MAF
    MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • E. MAI
    MAI is the commonly used abbreviation for Romania’s Ministry of Internal Affairs, the government body responsible for internal security, public order, and civil administration.
  • 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: MAAIF
Triple: [Ministry of Agriculture, Animal Industry and Fisheries (Uganda), shortName, MAAIF]
Generated description
MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MAAIF
Target entity description: MAAIF is Uganda’s government ministry responsible for overseeing agriculture, livestock, and fisheries development and policy.
  • A. 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.
  • B. MAA
    MAA is the three-letter IATA airport code for Chennai International Airport, a major aviation hub in southern India.
  • C. 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.
  • D. MAF
    MAF is the acronym commonly used to refer to the Myanmar Air Force, the aerial warfare branch of Myanmar’s armed forces.
  • E. MAI
    MAI is the commonly used abbreviation for Romania’s Ministry of Internal Affairs, the government body responsible for internal security, public order, and civil administration.
  • 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_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_69cea8a51db0819097ec0f70bee31539 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:22 p.m.