Triple

T8269012
Position Surface form Disambiguated ID Type / Status
Subject Ratne E193373 entity
Predicate administrativeCenterOf P383 FINISHED
Object Ratne Raion E738248 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: Ratne Raion | Statement: [Ratne, administrativeCenterOf, Ratne Raion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratne Raion
Context triple: [Ratne, administrativeCenterOf, Ratne Raion]
  • A. Ratne Raion chosen
    Ratne Raion is a former administrative district in Volyn Oblast in northwestern Ukraine, known for encompassing the urban-type settlement of Ratne and surrounding rural areas.
  • B. Lutsk Raion
    Lutsk Raion is an administrative district in Volyn Oblast in northwestern Ukraine, centered around the city of Lutsk.
  • C. Ternopil Raion
    Ternopil Raion is an administrative district in Ternopil Oblast in western Ukraine, centered around the city of Ternopil.
  • D. Khmelnytskyi Raion
    Khmelnytskyi Raion is an administrative district in western Ukraine that encompasses the city of Khmelnytskyi and surrounding rural areas within Khmelnytskyi Oblast.
  • E. Nizhyn Raion
    Nizhyn Raion is an administrative district in Chernihiv Oblast in northern Ukraine, centered around the city of Nizhyn and encompassing several surrounding towns and rural communities.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cb7c80c81909d3d56c05a23f5c7 completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:50 p.m.