Triple

T9530017
Position Surface form Disambiguated ID Type / Status
Subject Artvin Province E229864 entity
Predicate hasCapital P204 FINISHED
Object Artvin
Artvin is a small city in northeastern Turkey known for its mountainous landscape, forests, and traditional Black Sea culture.
 E229864 NE FINISHED

How this triple was built (4 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: [Artvin Province, hasCapital, Artvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artvin
Context triple: [Artvin Province, hasCapital, Artvin]
  • A. Artvin Province
    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. Gömeç
    Gömeç is a small coastal town and district in western Turkey, situated along the Aegean Sea in the Marmara Region.
  • C. Adıvar
    Adıvar is a Turkish surname most prominently associated with the influential novelist, feminist, and nationalist figure Halide Edib Adıvar.
  • D. Tatvan
    Tatvan is a town in eastern Turkey’s Bitlis Province, situated on the western shore of Lake Van and serving as a regional transport and commercial hub.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Artvin
Triple: [Artvin Province, hasCapital, Artvin]
Generated description
Artvin is a small city in northeastern Turkey known for its mountainous landscape, forests, and traditional Black Sea culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artvin
Target entity description: Artvin is a small city in northeastern Turkey known for its mountainous landscape, forests, and traditional Black Sea culture.
  • 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. Gömeç
    Gömeç is a small coastal town and district in western Turkey, situated along the Aegean Sea in the Marmara Region.
  • C. Adıvar
    Adıvar is a Turkish surname most prominently associated with the influential novelist, feminist, and nationalist figure Halide Edib Adıvar.
  • D. Tatvan
    Tatvan is a town in eastern Turkey’s Bitlis Province, situated on the western shore of Lake Van and serving as a regional transport and commercial hub.
  • E. 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.
  • F. None of above.

Provenance (5 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1612f86ac8190a19a2d17b25c08e6 completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d161c432b08190ba848159cc26a00c completed April 4, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69d162fc597081909a57f842e41b1ad4 completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8 p.m.