Triple

T5491963
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Artvin E229864 NE 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: Artvin | Statement: [Asian Turkey, containsCity, Artvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artvin
Context triple: [Asian Turkey, containsCity, Artvin]
  • A. Artvin Province chosen
    Artvin Province is a mountainous, forested region in northeastern Turkey along the Black Sea coast, known for its diverse ethnic heritage, including Laz communities, and its scenic valleys and rivers.
  • B. Adıvar
    Adıvar is a Turkish surname most prominently associated with the influential novelist, feminist, and nationalist figure Halide Edib Adıvar.
  • C. Uşak
    Uşak is a city in western Turkey known for its role in the Turkish War of Independence and its traditional carpet and textile production.
  • D. Sighnaghi
    Sighnaghi is a picturesque hilltop town in eastern Georgia known for its well-preserved 18th–19th century architecture, views over the Alazani Valley, and role as a popular tourist destination.
  • E. Burdur
    Burdur is a city in southwestern Turkey known for its nearby lakes, archaeological sites, and traditional Ottoman-era architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.