Triple

T8183401
Position Surface form Disambiguated ID Type / Status
Subject Minho region E191121 entity
Predicate hasRiver P165 FINISHED
Object Minho River E644405 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: Minho River | Statement: [Minho region, hasRiver, Minho River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minho River
Context triple: [Minho region, hasRiver, Minho River]
  • A. Minho River chosen
    The Minho River is a major river in the northwest of the Iberian Peninsula that forms part of the border between Spain and Portugal before flowing into the Atlantic Ocean.
  • B. Baram River
    The Baram River is one of the largest rivers in northern Borneo, flowing through the Malaysian state of Sarawak to the South China Sea and supporting diverse indigenous communities and rainforest ecosystems.
  • C. Nakdong River
    The Nakdong River is South Korea's longest river, flowing through the southeastern region and playing a crucial role in the country's history, ecology, and economy.
  • D. Yeong River
    The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
  • E. Neryungri River
    Neryungri River is a river in the Sakha Republic (Yakutia), Russia, that gives its name to the nearby mining town of Neryungri.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce022b87bc8190b390adf9170eb886 completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:41 p.m.