Triple

T5747337
Position Surface form Disambiguated ID Type / Status
Subject Poltava Governorate E126766 entity
Predicate contains P35 FINISHED
Object Pryluky E442804 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: Pryluky | Statement: [Poltava Governorate, contains, Pryluky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pryluky
Context triple: [Poltava Governorate, contains, Pryluky]
  • A. Pryluky chosen
    Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
  • B. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • C. Lubny
    Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
  • D. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • E. Vyshhorod
    Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02885b0288190835809681a364b1f completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097fcba40819097543d151b890788 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.