Triple

T2114454
Position Surface form Disambiguated ID Type / Status
Subject NNTP E42573 entity
Predicate typicalClient P8616 FINISHED
Object newsreader 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: newsreader | Statement: [NNTP, typicalClient, newsreader]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalClient
Context triple: [NNTP, typicalClient, newsreader]
  • A. clientFor chosen
    Indicates that one entity acts as a client that uses the services, resources, or interface provided by another entity.
  • B. primaryClient
    Indicates that one entity serves as the main or most important client associated with another entity.
  • C. typicalProvider
    Indicates that one entity commonly or characteristically serves as a provider of goods, services, or resources to another entity.
  • D. typicalSetup
    Indicates that an entity is arranged, configured, or organized in its standard or commonly used setup relative to another entity or context.
  • E. typicalCandidate
    Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69abb7ba08948190a3c236bb53ee4257 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.