Triple

T20671030
Position Surface form Disambiguated ID Type / Status
Subject Terek–Kuma Lowland E508022 entity
Predicate between P1262 FINISHED
Object Kuma 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: Kuma River | Statement: [Terek–Kuma Lowland, between, Kuma River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuma River
Context triple: [Terek–Kuma Lowland, between, Kuma River]
  • A. Kuma River chosen
    The Kuma River is a significant river in southwestern Russia that flows through the North Caucasus region, including Stavropol Krai, before emptying into the Caspian Sea.
  • B. Kune River
    Kune River is a watercourse in the Western Ghats region of Maharashtra, India, known for feeding the scenic Kune Falls near Lonavala.
  • C. Teirei River
    Teirei River is a tributary waterway in northeastern India that feeds into the larger Tlawng River system in Mizoram.
  • D. Kowai River
    The Kowai River is a smaller river in the Canterbury region of New Zealand that feeds into the larger Waimakariri River system.
  • E. Tatau River
    The Tatau River is a river in Sarawak, Malaysia, that flows through the Bintulu Division and drains into the South China Sea.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c92aa8819096fbe0ca5101d01b completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.