Triple

T16813821
Position Surface form Disambiguated ID Type / Status
Subject Dniprodzerzhynsk E408686 entity
Predicate belongsTo P35 FINISHED
Object Kamianske urban hromada E412420 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: Kamianske urban hromada | Statement: [Dniprodzerzhynsk, belongsTo, Kamianske urban hromada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamianske urban hromada
Context triple: [Dniprodzerzhynsk, belongsTo, Kamianske urban hromada]
  • A. Kamianske chosen
    Kamianske is an industrial city in central Ukraine, historically known for its heavy metallurgy and chemical industries along the Dnieper River.
  • B. Karnobat Municipality
    Karnobat Municipality is an administrative region in southeastern Bulgaria centered around the town of Karnobat, known for its agricultural production and wine-making traditions.
  • C. Shumsk
    Shumsk is a small town in western Ukraine known for its historical roots and location within the Ternopil region.
  • D. Nové Mesto
    Nové Mesto is a borough of Bratislava, Slovakia, known for its mix of residential areas, sports facilities, and commercial zones.
  • E. Hurbanovo
    Hurbanovo is a small town in southern Slovakia known for its warm climate and its major brewery, Zlatý Bažant.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.