Triple

T30288991
Position Surface form Disambiguated ID Type / Status
Subject RFC 7482 E770319 entity
Predicate definesQueryTarget P146408 FINISHED
Object domain names 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: domain names | Statement: [RFC 7482, definesQueryTarget, domain names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesQueryTarget
Context triple: [RFC 7482, definesQueryTarget, domain names]
  • A. usesTargetsFrom
    Indicates that one entity selects or operates on targets that are defined, provided, or referenced by another entity.
  • B. intendedTargets
    Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
  • C. mappingTarget chosen
    Indicates that one entity serves as the destination or result of a mapping defined from another entity.
  • D. usesTarget
    Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
  • E. evaluationTarget
    Indicates that something is the object, subject, or focus being assessed, judged, or analyzed in an evaluation process.
  • 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_69f224875c288190a9b96b975006ec4a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd49f6dbac81909744373a357b7982 completed May 8, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69fd48ed68f481908374183c66a6b055 completed May 8, 2026, 2:22 a.m.
Created at: April 29, 2026, 7:47 p.m.