Triple

T9148561
Position Surface form Disambiguated ID Type / Status
Subject Zhytomyr Oblast E219523 entity
Predicate capital P234 FINISHED
Object Zhytomyr E62033 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: Zhytomyr | Statement: [Zhytomyr Oblast, capital, Zhytomyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhytomyr
Context triple: [Zhytomyr Oblast, capital, Zhytomyr]
  • A. Zhytomyr chosen
    Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
  • B. Khmelnytskyi
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
  • C. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • D. Nizhyn
    Nizhyn is a historic city in northern Ukraine known for its cultural heritage, educational institutions, and well-preserved architecture.
  • E. Chernihiv
    Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3549788608190a1949eb254e43a8e completed April 6, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:20 p.m.