Triple

T11100558
Position Surface form Disambiguated ID Type / Status
Subject Crusoe microprocessor E262490 entity
Predicate familyMember P566 FINISHED
Object Transmeta TM5400 E50342 NE FINISHED

How this triple was built (2 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: Transmeta TM5400 | Statement: [Crusoe microprocessor, familyMember, Transmeta TM5400]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transmeta TM5400
Context triple: [Crusoe microprocessor, familyMember, Transmeta TM5400]
  • A. Transmeta chosen
    Transmeta was an innovative semiconductor company best known for its low-power x86-compatible microprocessors and for employing Linux creator Linus Torvalds.
  • B. Intel XScale
    Intel XScale is a family of ARM-based microprocessors developed by Intel for low-power, embedded, and mobile devices such as PDAs and smartphones.
  • C. 64-bit NEC VR4300
    The 64-bit NEC VR4300 is a MIPS-based microprocessor used as the central processing unit in Nintendo's Nintendo 64 game console.
  • D. UltraSPARC T5
    UltraSPARC T5 is a 16-core, 64-thread SPARC microprocessor from Oracle designed for highly parallel, enterprise-class server workloads.
  • E. MIPS R5000
    The MIPS R5000 is a 64-bit RISC microprocessor from the MIPS family, widely used in mid-1990s workstations and embedded systems for its balance of performance and cost.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6d03788190acc9748a3ba0d0ab completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.