Triple

T2264703
Position Surface form Disambiguated ID Type / Status
Subject Millennium Challenge Corporation E50117 entity
Predicate shortName P43 FINISHED
Object MCC
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
 E251507 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: MCC | Statement: [Millennium Challenge Corporation, shortName, MCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCC
Context triple: [Millennium Challenge Corporation, shortName, MCC]
  • A. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • B. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • C. MCA
    MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
  • D. MCG
    MCG is a world-famous sports stadium in Melbourne, Australia, renowned as a premier venue for cricket and Australian rules football and for hosting major international sporting events.
  • E. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • 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: MCC
Triple: [Millennium Challenge Corporation, shortName, MCC]
Generated description
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCC
Target entity description: MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • A. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • B. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • C. MCA
    MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
  • D. MCG
    MCG is a world-famous sports stadium in Melbourne, Australia, renowned as a premier venue for cricket and Australian rules football and for hosting major international sporting events.
  • E. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18ed0708190aa3156e9d35120c3 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d243608190bbfe5784fa06e26b completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae728e46608190b4192519c705bc32 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae72ff572081909b7c4aebb9e26180 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.