Triple

T10241976
Position Surface form Disambiguated ID Type / Status
Subject Vercelli E243615 entity
Predicate locatedOn P40 FINISHED
Object Sesia River E628794 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: Sesia River | Statement: [Vercelli, locatedOn, Sesia River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sesia River
Context triple: [Vercelli, locatedOn, Sesia River]
  • A. Poiqu River
    The Poiqu River is a transboundary river originating in Tibet that flows south into Nepal, where it becomes known as the Bhote Koshi River and is noted for its steep gradient and whitewater rapids.
  • B. Sestra River
    The Sestra River is a watercourse in northwestern Russia that flows into the eastern part of the Gulf of Finland in the Baltic Sea.
  • C. Velino River chosen
    The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
  • D. Sajna River
    The Sajna River is a small river in northern Poland that flows through the town of Reszel in the Warmian-Masurian region.
  • E. Musi River
    The Musi River is a significant river in the Deccan region of India that flows through the city of Hyderabad, historically shaping its development and water supply.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21f2ae0819098ac60c828dc9cae completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b5ad3c81909c38c83804b7d337 completed May 3, 2026, 2:53 a.m.
Created at: April 6, 2026, 11:25 a.m.