Triple

T16529049
Position Surface form Disambiguated ID Type / Status
Subject Panshet region E401513 entity
Predicate locatedNear P294 FINISHED
Object Mose 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: Mose River | Statement: [Panshet region, locatedNear, Mose River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mose River
Context triple: [Panshet region, locatedNear, Mose River]
  • A. Mose River chosen
    Mose River is a minor river in the Pune region of Maharashtra, India, known primarily as a tributary contributing to the Mutha River system.
  • B. Tamina River
    The Tamina River is a mountain river in eastern Switzerland known for flowing through the deep Tamina Gorge near Bad Ragaz, an area famous for its thermal springs and spa culture.
  • C. Mutirikwi River
    Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
  • D. Moesa River
    The Moesa River is a mountain river in southeastern Switzerland that flows through the canton of Graubünden and the Mesolcina valley before joining the Ticino River.
  • E. Yenge River
    The Yenge River is a waterway in the Democratic Republic of the Congo that flows through the remote, biodiverse Salonga National Park in the central Congo Basin.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed625208190a68b879266b05b3f completed April 18, 2026, 7:12 a.m.
Created at: April 10, 2026, 5:14 a.m.