Triple

T9213916
Position Surface form Disambiguated ID Type / Status
Subject Kamianske Reservoir E221194 entity
Predicate locatedNear P294 FINISHED
Object Kamianske 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 | Statement: [Kamianske Reservoir, locatedNear, Kamianske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamianske
Context triple: [Kamianske Reservoir, locatedNear, Kamianske]
  • 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. Zhovkva
    Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
  • C. Khmilnyk
    Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
  • D. Khmelnytskyi
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
  • E. Kamianets-Podilskyi
    Kamianets-Podilskyi is a historic city in western Ukraine renowned for its well-preserved medieval old town and impressive fortress overlooking the Smotrych River canyon.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda06bf80819094c6e74b4b6a31e4 completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d60d24c6dc819088332a512940a9c8 completed April 8, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:27 p.m.