Triple

T8632768
Position Surface form Disambiguated ID Type / Status
Subject AGA chipset generation E204441 entity
Predicate replacesComponent P28532 FINISHED
Object Agnus chip E734300 NE FINISHED

How this triple was built (3 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: Agnus chip | Statement: [AGA chipset generation, replacesComponent, Agnus chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agnus chip
Context triple: [AGA chipset generation, replacesComponent, Agnus chip]
  • A. Ivory microprocessor
    The Ivory microprocessor is a specialized Lisp processor designed to efficiently run Symbolics' advanced AI and symbolic computing systems.
  • B. Habana Gaudi processor
    The Habana Gaudi processor is a specialized AI training accelerator designed by Habana Labs (an Intel company) to deliver high-performance, scalable deep learning computation in data centers.
  • C. Crusoe microprocessor
    The Crusoe microprocessor is a low-power, x86-compatible CPU line from Transmeta that used code-morphing software to translate x86 instructions to an underlying VLIW architecture, targeting laptops and mobile devices.
  • D. Tensor G3 chip
    The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
  • E. Lorraine prototype chipset chosen
    The Lorraine prototype chipset was the early custom hardware design that evolved into the Original Chip Set used in Commodore’s Amiga computers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: replacesComponent
Context triple: [AGA chipset generation, replacesComponent, Agnus chip]
  • A. replacesComponentOf chosen
    Indicates that one entity takes the place of a specific component within another entity, substituting for that component in its role or function.
  • B. replacedSubsystem
    Indicates that one subsystem has been substituted or exchanged for another, taking over its role or function.
  • C. replacedWith
    Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
  • D. componentExchange
    Indicates a relationship where one component provides, transfers, or receives data, energy, or other resources to or from another component.
  • E. placedBy
    Indicates that one entity was positioned, set, or put in a location or context by another entity.
  • F. None of above.

Provenance (4 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47944d1c819081f448f14d04bf9d completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc13073c8190ad6e92b8f7161739 completed April 2, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69cc455d6d448190a2da2a319ac78c37 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:27 p.m.