Triple

T19325088
Position Surface form Disambiguated ID Type / Status
Subject Son La province E483325 entity
Predicate crossedByRiver P225 FINISHED
Object Da River NE NERFINISHED

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: Da River | Statement: [Son La province, crossedByRiver, Da River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da River
Context triple: [Son La province, crossedByRiver, Da River]
  • A. Da River chosen
    Da River is a major river in northern Vietnam and a key tributary of the Red River, known for its hydroelectric dams and scenic mountainous landscapes.
  • B. Kwa River
    The Kwa River is a river in southeastern Nigeria known for its scenic course through Cross River State and for feeding the picturesque Kwa Falls.
  • C. Addalam River
    The Addalam River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and communities.
  • D. Kosa River
    The Kosa River is a waterway in Russia that flows through the Perm Krai region as part of the Kama River basin.
  • E. Belan River
    The Belan River is a river in northern India that flows through parts of Uttar Pradesh, including the Mirzapur district, and is known for its archaeological significance due to numerous prehistoric sites along its banks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8af43c81908e5a8780c35a8e1d completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.