Triple

T8285567
Position Surface form Disambiguated ID Type / Status
Subject QEMU E193779 entity
Predicate supportsGuestArchitecture P82507 FINISHED
Object SH4
SH4 is a 32-bit RISC microprocessor architecture from Hitachi’s SuperH family, widely used in embedded systems and notably in the Sega Dreamcast console.
E724159 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: SH4 | Statement: [QEMU, supportsGuestArchitecture, SH4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SH4
Context triple: [QEMU, supportsGuestArchitecture, SH4]
  • A. SH 45
    SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
  • B. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • C. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • D. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • E. SH
    SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • 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: SH4
Triple: [QEMU, supportsGuestArchitecture, SH4]
Generated description
SH4 is a 32-bit RISC microprocessor architecture from Hitachi’s SuperH family, widely used in embedded systems and notably in the Sega Dreamcast console.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SH4
Target entity description: SH4 is a 32-bit RISC microprocessor architecture from Hitachi’s SuperH family, widely used in embedded systems and notably in the Sega Dreamcast console.
  • A. SH 45
    SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
  • B. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • C. Sh1
    Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
  • D. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • E. SH
    SH is the vehicle registration code for the Swiss canton of Schaffhausen.
  • 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_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.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.