Triple

T3689352
Position Surface form Disambiguated ID Type / Status
Subject Novo-Bayazet uezd E78305 entity
Predicate administrativeCenter P1474 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 uezd, administrativeCenter, Novo-Bayazet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novo-Bayazet
Context triple: [Novo-Bayazet uezd, administrativeCenter, 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. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • C. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • D. Bakhchisaray
    Bakhchisaray is a historic town in Crimea known for its former role as the capital of the Crimean Khanate and its notable architectural and cultural heritage.
  • E. Söğüt
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4cb47208190b1321af859d02c51 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeb6c288190a52e81fcbeaeec6d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.