Triple

T1610454
Position Surface form Disambiguated ID Type / Status
Subject F# E34603 entity
Predicate platform P1292 FINISHED
Object Mono
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
 E182226 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: Mono | Statement: [F#, platform, Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mono
Context triple: [F#, platform, Mono]
  • A. Metro
    Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
  • B. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • C. Solo
    Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
  • D. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • E. Singel
    Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
  • 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: Mono
Triple: [F#, platform, Mono]
Generated description
Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mono
Target entity description: Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
  • A. Metro
    Metro is the primary public transportation agency serving Los Angeles County, operating buses, light rail, subway, and other transit services across the region.
  • B. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • C. Solo
    Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
  • D. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • E. Singel
    Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622b9fbc8190bff82acdde10deb6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c4bbfc8190b9d00e1562155a5f completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad526a5e648190b3f40a85c0c06abb completed March 8, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ad52e053f081908af40a7602dab301 completed March 8, 2026, 10:43 a.m.
Created at: March 4, 2026, 7:28 p.m.