Triple

T8391801
Position Surface form Disambiguated ID Type / Status
Subject Svityaz Lake E197959 entity
Predicate hasAlternativeName P39 FINISHED
Object Svitiaz Lake E197959 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: Svitiaz Lake | Statement: [Svityaz Lake, hasAlternativeName, Svitiaz Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svitiaz Lake
Context triple: [Svityaz Lake, hasAlternativeName, Svitiaz Lake]
  • A. Ternopil Lake
    Ternopil Lake is a large artificial reservoir and prominent recreational landmark located in the city of Ternopil in western Ukraine.
  • B. Svityaz Lake chosen
    Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
  • C. Pisochne Lake
    Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
  • D. Gołdap Lake
    Gołdap Lake is a freshwater lake in northeastern Poland, near the town of Gołdap and close to the border with Russia’s Kaliningrad Oblast.
  • E. Czorsztyn Lake
    Czorsztyn Lake is an artificial reservoir in southern Poland, known for its scenic mountain setting, historic castles on its shores, and role in flood control and recreation.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d1ffa988190a7b0a6b1017e144d completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:03 p.m.