Triple

T22444515
Position Surface form Disambiguated ID Type / Status
Subject AMP E554830 entity
Predicate ecosystemIncludes P1888 FINISHED
Object AMP runtime NE NERFINISHED

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: AMP runtime | Statement: [AMP, ecosystemIncludes, AMP runtime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMP runtime
Context triple: [AMP, ecosystemIncludes, AMP runtime]
  • A. Ray AI Runtime
    Ray AI Runtime is a distributed computing framework within the Ray ecosystem designed to efficiently run and scale AI and machine learning workloads across clusters.
  • B. AMPS
    AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
  • C. AMP
    AMP is the abbreviated name for the Air Member for Personnel, a senior Royal Air Force appointment responsible for personnel and manpower matters.
  • D. AMP chosen
    AMP (Accelerated Mobile Pages) is an open-source web component framework designed to create fast-loading, streamlined web pages, especially for mobile devices.
  • E. Mono runtime
    Mono runtime is an open-source implementation of Microsoft’s .NET framework that enables cross-platform execution of .NET applications on systems such as Linux, macOS, and mobile devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae517208190924a7968723f55ef completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.