Triple

T19580721
Position Surface form Disambiguated ID Type / Status
Subject Northeast China rail network E489979 entity
Predicate connects P390 FINISHED
Object Suifenhe 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: Suifenhe | Statement: [Northeast China rail network, connects, Suifenhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suifenhe
Context triple: [Northeast China rail network, connects, Suifenhe]
  • A. Suifenhe chosen
    Suifenhe is a border city in northeastern China known as a major gateway for trade and transportation between China and Russia.
  • B. Heilong Jiang
    Heilong Jiang is a major river in Northeast Asia that forms part of the border between China and Russia and is known internationally as the Amur River.
  • C. Hanjiang
    Hanjiang is a major river in eastern Guangdong Province, China, known for supporting regional agriculture, transportation, and the development of nearby cities such as Chaozhou and Shantou.
  • D. Hunjiang River
    The Hunjiang River is a significant river in northeastern China that serves as a major tributary within the Yalu River basin.
  • E. Yalong River
    The Yalong River is a major river in southwestern China that flows through the Tibetan Plateau and Sichuan before joining the Yangtze, contributing significantly to regional hydropower and ecology.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.