Triple

T1935007
Position Surface form Disambiguated ID Type / Status
Subject XNU E41424 entity
Predicate component P35 FINISHED
Object Mach
Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
 E215073 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: Mach | Statement: [XNU, component, Mach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mach
Context triple: [XNU, component, Mach]
  • A. Mach
    Mach is a surname most famously associated with Austrian physicist and philosopher Ernst Mach, whose work on the physics of motion and critical views on Newtonian mechanics influenced both science and philosophy.
  • B. Mach 1
    Mach 1 is a performance-oriented version of the Ford Mustang known for its enhanced power, handling, and distinctive styling cues.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • E. Turbostar
    Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
  • 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: Mach
Triple: [XNU, component, Mach]
Generated description
Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mach
Target entity description: Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
  • A. Mach
    Mach is a surname most famously associated with Austrian physicist and philosopher Ernst Mach, whose work on the physics of motion and critical views on Newtonian mechanics influenced both science and philosophy.
  • B. Mach 1
    Mach 1 is a performance-oriented version of the Ford Mustang known for its enhanced power, handling, and distinctive styling cues.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • E. Turbostar
    Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf472aca881908d99cf5bfcae3094 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50d93c88190aa1cbf96526558b6 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.