Triple

T17416820
Position Surface form Disambiguated ID Type / Status
Subject Poltava Oblast E423510 entity
Predicate containsCity P294 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: [Poltava Oblast, containsCity, Lubny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubny
Context triple: [Poltava Oblast, containsCity, 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. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • E. Kolomyia
    Kolomyia is a historic city in western Ukraine known for its cultural heritage, traditional Hutsul art, and the renowned Pysanka (Easter egg) Museum.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44232ecdc8190ac8958c1780fea19 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.