Triple

T22036342
Position Surface form Disambiguated ID Type / Status
Subject Lubny Uyezd E544218 entity
Predicate capital P234 FINISHED
Object Lubny NE NERFINISHED

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: Lubny | Statement: [Lubny Uyezd, capital, Lubny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubny
Context triple: [Lubny Uyezd, capital, Lubny]
  • A. Lubny chosen
    Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
  • B. Zbarazh
    Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
  • C. Chortkiv
    Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
  • D. Ruzhyn
    Ruzhyn is an urban-type settlement in central Ukraine, historically part of Zhytomyr Oblast and now administered within Bila Tserkva Raion of Kyiv Oblast.
  • E. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f1f95c8190a324c84313cd91ee completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.