Triple

T10005909
Position Surface form Disambiguated ID Type / Status
Subject Elle Turkey E198240 entity
Predicate hasEditorialContentTailoredTo P83197 FINISHED
Object Turkish culture 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: Turkish culture | Statement: [Elle Turkey, hasEditorialContentTailoredTo, Turkish culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEditorialContentTailoredTo
Context triple: [Elle Turkey, hasEditorialContentTailoredTo, Turkish culture]
  • A. hasContentTailoredTo chosen
    Indicates that something (such as a message, product, or experience) has its content specifically adapted or customized to suit a particular target, context, or audience.
  • B. hasEditorialContent
    Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
  • C. hasEditorialFocus
    Indicates that an entity (such as a publication or section) is primarily concerned with or oriented around a particular editorial topic, theme, or subject area.
  • D. hasEditorialPage
    Indicates that an entity (typically a publication) includes or is associated with an editorial page.
  • E. hasEditorialMission
    Indicates that an entity maintains or follows a defined editorial mission or guiding editorial policy.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd157d9c8190b863e4264f9a48b1 completed April 2, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69cd1da2cf9081908a6c0eb5247d0bc2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:51 p.m.