Triple

T17676620
Position Surface form Disambiguated ID Type / Status
Subject Mersenne Twister E440656 entity
Predicate hasAbbreviation P43 FINISHED
Object MT
MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
 E1282498 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: MT | Statement: [Mersenne Twister, hasAbbreviation, MT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MT
Context triple: [Mersenne Twister, hasAbbreviation, MT]
  • A. MT
    MT is the stock ticker symbol for ArcelorMittal, one of the world’s largest steel and mining companies.
  • B. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • C. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • D. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • E. MYT
    MYT is the National Rail station code for Mytholmroyd railway station in West Yorkshire, 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: MT
Triple: [Mersenne Twister, hasAbbreviation, MT]
Generated description
MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MT
Target entity description: MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • A. MT
    MT is the stock ticker symbol for ArcelorMittal, one of the world’s largest steel and mining companies.
  • B. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • C. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • D. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • E. MYT
    MYT is the National Rail station code for Mytholmroyd railway station in West Yorkshire, 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6d9ab88190ab0e25eac8b0101c completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022325d6108190975082abcdb21ce1 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022759531c8190a77c5dc4e3ccaee6 completed May 11, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0227ff79d881908ad190b2665bc63d completed May 11, 2026, 7:03 p.m.
Created at: April 10, 2026, 10:01 a.m.