Triple

T8285571
Position Surface form Disambiguated ID Type / Status
Subject QEMU E193779 entity
Predicate supportsGuestArchitecture P82507 FINISHED
Object Xtensa E426597 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: Xtensa | Statement: [QEMU, supportsGuestArchitecture, Xtensa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xtensa
Context triple: [QEMU, supportsGuestArchitecture, Xtensa]
  • A. Tensilica Xtensa LX6 chosen
    Tensilica Xtensa LX6 is a customizable 32-bit RISC processor core widely used in embedded systems for its efficient performance and low power consumption, notably in Espressif’s ESP32 SoCs.
  • B. 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.
  • C. Hitachi SH-4
    The Hitachi SH-4 is a 32-bit RISC microprocessor known for its use in late-1990s gaming consoles and embedded systems, featuring strong floating-point performance for 3D graphics.
  • D. MIPS
    MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
  • E. MIPS R4600
    The MIPS R4600 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cbd11ed22c819082bf036602eaa038 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.