Triple

T15762042
Position Surface form Disambiguated ID Type / Status
Subject Novo-Bayazet district E382123 entity
Predicate hasCapital P204 FINISHED
Object Novo-Bayazet E379345 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: Novo-Bayazet | Statement: [Novo-Bayazet district, hasCapital, Novo-Bayazet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novo-Bayazet
Context triple: [Novo-Bayazet district, hasCapital, Novo-Bayazet]
  • A. Novo-Bayazet chosen
    Novo-Bayazet is a historical town in the South Caucasus region that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
  • B. Нор-Баязет
    Нор-Баязет — это историческое название армянского города Гавар, расположенного в Гегаркуникской области у озера Севан.
  • C. Gaziosmanpaşa
    Gaziosmanpaşa is a densely populated residential and commercial district on the European side of Istanbul, known for its rapid urbanization and diverse working- and middle-class communities.
  • D. Serdivan
    Serdivan is a rapidly developing district and suburban area of the city of Sakarya in northwestern Turkey, known for its residential neighborhoods, university presence, and growing commercial centers.
  • E. Çandarlı
    Çandarlı is the surname of a prominent Ottoman political family that produced several influential grand viziers in the 14th and 15th centuries.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.