Triple

T24894560
Position Surface form Disambiguated ID Type / Status
Subject DNxHR E623099 entity
Predicate supportsResolutionBeyond P33931 FINISHED
Object 4K+ LITERAL 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: 4K+ | Statement: [DNxHR, supportsResolutionBeyond, 4K+]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsResolutionBeyond
Context triple: [DNxHR, supportsResolutionBeyond, 4K+]
  • A. resolvesOver
    Indicates that one entity successfully addresses, settles, or overcomes an issue, conflict, or obstacle involving another entity or context.
  • B. resolutionOf
    Indicates that one entity is the formal decision, outcome, or solution produced in response to, or for the purpose of addressing, another entity such as an issue, proposal, or problem.
  • C. hasResolution chosen
    Indicates that one entity possesses, specifies, or is associated with a particular level or type of resolution (such as detail, clarity, or granularity) in relation to another entity.
  • D. supportsReach
    Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
  • E. resolutionRequires
    Indicates that resolving one issue, task, or condition depends on first completing or satisfying another specified prerequisite.
  • F. None of above.

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_69e2fac597708190a922bf39a49ec70a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
Created at: April 18, 2026, 5:26 a.m.