Triple

T1775026
Position Surface form Disambiguated ID Type / Status
Subject Linux/m68k E38957 entity
Predicate supportsPlatform P203 FINISHED
Object ARAnyM
ARAnyM is a virtual machine designed to emulate a 68040-based Atari system, enabling Atari-compatible operating systems and software to run on modern hardware and platforms.
 E198697 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: ARAnyM | Statement: [Linux/m68k, supportsPlatform, ARAnyM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARAnyM
Context triple: [Linux/m68k, supportsPlatform, ARAnyM]
  • A. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • B. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • C. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • D. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • E. Arena
    Arena is a surname most prominently associated with Bruce Arena, a highly successful American soccer coach and former manager of the United States men's national team.
  • 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: ARAnyM
Triple: [Linux/m68k, supportsPlatform, ARAnyM]
Generated description
ARAnyM is a virtual machine designed to emulate a 68040-based Atari system, enabling Atari-compatible operating systems and software to run on modern hardware and platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARAnyM
Target entity description: ARAnyM is a virtual machine designed to emulate a 68040-based Atari system, enabling Atari-compatible operating systems and software to run on modern hardware and platforms.
  • A. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • B. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • C. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • D. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • E. Arena
    Arena is a surname most prominently associated with Bruce Arena, a highly successful American soccer coach and former manager of the United States men's national team.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b6c4a88190ab2f75c8d4814f11 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9982d208190b0c29ee1141e91b0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab03a5448190b42966adcd8afbde completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeabff6c8190b19bc6478a28641c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.