Triple

T8815536
Position Surface form Disambiguated ID Type / Status
Subject Donetsk Oblast E209766 entity
Predicate majorCity P316 FINISHED
Object Yenakiieve E99090 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: Yenakiieve | Statement: [Donetsk Oblast, majorCity, Yenakiieve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yenakiieve
Context triple: [Donetsk Oblast, majorCity, Yenakiieve]
  • A. Yenakiieve chosen
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Yenikale
    Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
  • D. Ivilyuat
    Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • E. Navahrudak
    Navahrudak is a historic town in western Belarus known as one of the country’s oldest settlements and a former medieval capital of the Grand Duchy of Lithuania.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff2ff248190bafcafe8b3860e53 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf89357b488190997f368079ef7e1e completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:45 p.m.