Triple

T7146784
Position Surface form Disambiguated ID Type / Status
Subject Cieplice Śląskie-Zdrój E166588 entity
Predicate locatedOnRiver P165 FINISHED
Object Kamienna River E308847 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: Kamienna River | Statement: [Cieplice Śląskie-Zdrój, locatedOnRiver, Kamienna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamienna River
Context triple: [Cieplice Śląskie-Zdrój, locatedOnRiver, Kamienna River]
  • A. Kamienna River chosen
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • B. Kamienica River
    The Kamienica River is a tributary watercourse in southern Poland that flows through the city of Nowy Sącz in the Lesser Poland region.
  • C. Kryniczanka River
    Kryniczanka River is a small mountain river in southern Poland that flows through the spa town of Krynica-Zdrój in the Beskid Sądecki range.
  • D. Skawa River
    The Skawa River is a river in southern Poland that flows through the Lesser Poland region, including the town of Sucha Beskidzka, before joining the Vistula River.
  • E. Tigoda River
    The Tigoda River is a tributary waterway in northwestern Russia that feeds into the larger Volkhov River system.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d4f3388190941f03fd80b0c223 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8569fbf4081909897b0e5456cd66a completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 2:46 p.m.