Triple

T11410079
Position Surface form Disambiguated ID Type / Status
Subject Multilateral Investment Fund E270345 entity
Predicate alsoKnownAs P39 FINISHED
Object MIF
MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
 E925289 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: MIF | Statement: [Multilateral Investment Fund, alsoKnownAs, MIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MIF
Context triple: [Multilateral Investment Fund, alsoKnownAs, MIF]
  • A. MICF
    MICF is one of the world’s largest annual comedy festivals, held in Melbourne and showcasing stand-up, sketch, and other comedic performances from local and international artists.
  • B. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • C. MEF
    MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
  • D. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • E. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • 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: MIF
Triple: [Multilateral Investment Fund, alsoKnownAs, MIF]
Generated description
MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MIF
Target entity description: MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
  • A. MICF
    MICF is one of the world’s largest annual comedy festivals, held in Melbourne and showcasing stand-up, sketch, and other comedic performances from local and international artists.
  • B. MIK
    MIK is the stock ticker symbol for The Michaels Companies, a major North American retailer specializing in arts, crafts, framing, and home décor products.
  • C. MEF
    MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
  • D. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • E. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8015017d08190b4020c76545556d6 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b845ed488190b7680ddf09177ea0 completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c289b5ac81909bdaec61a66f6654 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c43f4b4c8190aeae600364d2e4ac completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.