Triple

T17917380
Position Surface form Disambiguated ID Type / Status
Subject Trashi Yangtse District E447966 entity
Predicate hasRiver P165 FINISHED
Object Drangme Chhu basin 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: Drangme Chhu basin | Statement: [Trashi Yangtse District, hasRiver, Drangme Chhu basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drangme Chhu basin
Context triple: [Trashi Yangtse District, hasRiver, Drangme Chhu basin]
  • A. Drangme Chhu chosen
    Drangme Chhu is one of Bhutan’s largest and most significant rivers, flowing through the country’s eastern region and supporting local agriculture and hydropower.
  • B. Mangde Chhu valley
    Mangde Chhu valley is a river valley in central Bhutan known for its steep terrain, scenic landscapes, and strategic location beneath the historic town and dzong of Trongsa.
  • C. Kholong Chu
    Kholong Chu is a river in eastern Bhutan that flows through the mountainous Trashi Yangtse District and supports local agriculture and settlements.
  • D. Dibang River
    The Dibang River is a significant river in northeastern India and one of the principal tributaries contributing to the flow of the Brahmaputra.
  • E. Rangpo River
    The Rangpo River is a Himalayan river in the Indian state of Sikkim that flows through steep valleys and towns like Rangpo before joining the Teesta 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30778fc81908b5b2e308fb158a5 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.