Triple

T9534329
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Education of Cuba E229973 entity
Predicate hasAbbreviation P43 FINISHED
Object MINED
MINED is the official acronym for Cuba’s Ministry of Education, the government body responsible for overseeing the national education system.
 E806067 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: MINED | Statement: [Ministry of Education of Cuba, hasAbbreviation, MINED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MINED
Context triple: [Ministry of Education of Cuba, hasAbbreviation, MINED]
  • A. Minning
    Minning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • B. Mined-Out
    Mined-Out is an early 1983 ZX Spectrum puzzle video game by Ian Andrew that pioneered the grid-based mine-clearing gameplay later popularized by Minesweeper.
  • C. Mines
    Mines is a family surname shared by individuals such as William W. Mines.
  • D. Mine
    "Mine" is a country-pop song by Taylor Swift that opens her 2010 album *Speak Now* with a narrative about young love and emotional vulnerability.
  • E. Miners
    Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
  • 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: MINED
Triple: [Ministry of Education of Cuba, hasAbbreviation, MINED]
Generated description
MINED is the official acronym for Cuba’s Ministry of Education, the government body responsible for overseeing the national education system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MINED
Target entity description: MINED is the official acronym for Cuba’s Ministry of Education, the government body responsible for overseeing the national education system.
  • A. Minning
    Minning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • B. Mined-Out
    Mined-Out is an early 1983 ZX Spectrum puzzle video game by Ian Andrew that pioneered the grid-based mine-clearing gameplay later popularized by Minesweeper.
  • C. Mines
    Mines is a family surname shared by individuals such as William W. Mines.
  • D. Mine
    "Mine" is a country-pop song by Taylor Swift that opens her 2010 album *Speak Now* with a narrative about young love and emotional vulnerability.
  • E. Miners
    Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cc58bc8190ba921410e4b64aaa completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4804988190b99343734b4882e0 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14e5455848190a0b2aa4d93204c6a completed April 4, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_69d14eab4b6c819081e1f54cc79bf49f completed April 4, 2026, 5:47 p.m.
Created at: March 30, 2026, 8 p.m.