Triple

T27566580
Position Surface form Disambiguated ID Type / Status
Subject CNN Türk E695915 entity
Predicate hasNewsWebsite P17004 FINISHED
Object CNN Türk Haber Portalı 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: CNN Türk Haber Portalı | Statement: [CNN Türk, hasNewsWebsite, CNN Türk Haber Portalı]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNewsWebsite
Context triple: [CNN Türk, hasNewsWebsite, CNN Türk Haber Portalı]
  • A. hasNewsPortal chosen
    Indicates that an entity operates, maintains, or is associated with a dedicated online news portal.
  • B. hasPublisherWebsite
    Indicates that an entity is associated with the official website of its publisher.
  • C. hasOfficialWebsiteThrough
    Indicates that an entity has an official website that is accessed, provided, or mediated via a specified intermediary, platform, or channel.
  • D. hasUniversityWebsite
    Indicates that a university is associated with a specific official website.
  • E. hasCampaignWebsite
    Indicates that an entity (typically a political candidate or campaign) is associated with a specific official campaign website.
  • 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_69ef53891af88190a193c5e2a1dac9b1 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69fd0d0ba5c48190bddb3f0e6637544c completed May 7, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69fd0c4324a8819086c90adf46216e0e completed May 7, 2026, 10:03 p.m.
Created at: April 27, 2026, 1:41 p.m.