Triple

T10939330
Position Surface form Disambiguated ID Type / Status
Subject Sanok E258423 entity
Predicate locatedOnRiver P165 FINISHED
Object San River E302858 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: San River | Statement: [Sanok, locatedOnRiver, San River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San River
Context triple: [Sanok, locatedOnRiver, San River]
  • A. San River chosen
    The San River is a major river in southeastern Poland and western Ukraine, known for flowing through the Carpathian foothills and forming part of the Polish–Ukrainian border.
  • B. Emme River
    The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
  • C. Satilla River
    The Satilla River is a blackwater river in southeastern Georgia that flows through coastal plains and wetlands before emptying into the Atlantic Ocean.
  • D. Blanco River
    The Blanco River is a spring-fed river in central Texas known for its clear waters, scenic limestone banks, and popularity for swimming, tubing, and fishing.
  • E. Salí River
    The Salí River is a major watercourse in northern Argentina that supports regional agriculture, hydroelectric power generation, and urban 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3740b7ed081908623ae286271fb55 completed April 18, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:23 p.m.