Triple

T9497735
Position Surface form Disambiguated ID Type / Status
Subject Sơn Tây E229051 entity
Predicate hasNearbyRiver P8567 FINISHED
Object Đà River E758511 NE FINISHED

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: Đà River | Statement: [Sơn Tây, hasNearbyRiver, Đà River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đà River
Context triple: [Sơn Tây, hasNearbyRiver, Đà River]
  • A. Đà River chosen
    The Đà River is a major river in northwestern Vietnam, known for feeding the Hòa Bình hydropower plant and contributing significantly to the Red River system.
  • B. Cea River
    The Cea River is a tributary watercourse in northwestern Spain that flows through the provinces of León and Valladolid before joining the Douro River system.
  • C. Qu River
    The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
  • D. Gianh River
    The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
  • E. Loa River
    The Loa River is the longest river in Chile, flowing in a great arc through the Atacama Desert to the Pacific Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ef06b88190b7a840caddea3e38 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb2aaef481908a7be61bbfc3b008 completed April 5, 2026, 8:50 p.m.
Created at: March 30, 2026, 7:56 p.m.