Triple

T21327745
Position Surface form Disambiguated ID Type / Status
Subject Nen River E525805 entity
Predicate alsoKnownAs P39 FINISHED
Object Nenjiang 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: Nenjiang | Statement: [Nen River, alsoKnownAs, Nenjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nenjiang
Context triple: [Nen River, alsoKnownAs, Nenjiang]
  • A. Daqing River
    The Daqing River is a major river in northern China that serves as one of the principal tributaries forming the Hai River system.
  • B. Luohe
    Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport and industrial hub.
  • C. Songhua River chosen
    The Songhua River is a major river in northeastern China that flows through Jilin and Heilongjiang provinces and plays a key role in regional transportation, agriculture, and hydropower.
  • D. Dongliao River
    The Dongliao River is a significant river in northeastern China that forms part of the Liao River basin and supports regional agriculture and settlements.
  • E. Suifenhe
    Suifenhe is a border city in northeastern China known as a major gateway for trade and transportation between China and Russia.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4d69b4819088649e34213d0b67 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.