Triple

T21327735
Position Surface form Disambiguated ID Type / Status
Subject Nen River E525805 entity
Predicate passesThrough P225 FINISHED
Object Songyuan region 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: Songyuan region | Statement: [Nen River, passesThrough, Songyuan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songyuan region
Context triple: [Nen River, passesThrough, Songyuan region]
  • A. Songyuan chosen
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • B. Songbei District
    Songbei District is an urban district of Harbin in Heilongjiang Province, China, known for its modern development and location along the northern bank of the Songhua River.
  • C. Yuzhou
    Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
  • D. Jianzhou
    Jianzhou was a historical region in northeastern China that served as the homeland of the Jurchen leader Nurhaci and a cradle of the later Manchu state.
  • E. Qiantan
    Qiantan is a rapidly developing financial and commercial district in Shanghai, China, positioned as a new urban center with modern offices, residences, and cultural facilities.
  • 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.