Triple

T8285569
Position Surface form Disambiguated ID Type / Status
Subject QEMU E193779 entity
Predicate supportsGuestArchitecture P82507 FINISHED
Object CRIS
CRIS is a 32-bit embedded microprocessor architecture developed by Axis Communications, primarily used in their network devices and routers.
E724161 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: CRIS | Statement: [QEMU, supportsGuestArchitecture, CRIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRIS
Context triple: [QEMU, supportsGuestArchitecture, CRIS]
  • A. CrIS
    CrIS is a hyperspectral infrared sounder instrument used on NOAA’s Joint Polar Satellite System satellites to measure atmospheric temperature, moisture, and trace gases for weather forecasting and climate monitoring.
  • B. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • C. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • D. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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: CRIS
Triple: [QEMU, supportsGuestArchitecture, CRIS]
Generated description
CRIS is a 32-bit embedded microprocessor architecture developed by Axis Communications, primarily used in their network devices and routers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CRIS
Target entity description: CRIS is a 32-bit embedded microprocessor architecture developed by Axis Communications, primarily used in their network devices and routers.
  • A. CrIS
    CrIS is a hyperspectral infrared sounder instrument used on NOAA’s Joint Polar Satellite System satellites to measure atmospheric temperature, moisture, and trace gases for weather forecasting and climate monitoring.
  • B. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • C. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • D. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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.