Triple

T17992337
Position Surface form Disambiguated ID Type / Status
Subject Bauska E430402 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Mūsa 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: Mūsa River | Statement: [Bauska, locatedOnWaterbody, Mūsa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mūsa River
Context triple: [Bauska, locatedOnWaterbody, Mūsa River]
  • A. Mūsa River chosen
    The Mūsa River is a river in northern Lithuania and southern Latvia that flows northward before joining another river to form the Lielupe.
  • B. Musa Qala River
    The Musa Qala River is a tributary watercourse in southern Afghanistan that feeds into the Helmand River system.
  • C. Moawhango River
    The Moawhango River is a river in New Zealand’s central North Island that flows through rugged hill country and feeds into the larger Rangitīkei River system.
  • D. Ngadda River
    The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
  • E. Ruza River
    The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2a0f8588190b6090c7cce60a35f completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.