Triple

T14564592
Position Surface form Disambiguated ID Type / Status
Subject Yangtze River shipping routes E341751 entity
Predicate connects P390 FINISHED
Object Yueyang E170158 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: Yueyang | Statement: [Yangtze River shipping routes, connects, Yueyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yueyang
Context triple: [Yangtze River shipping routes, connects, Yueyang]
  • A. Yueyang chosen
    Yueyang is a historic port city in northeastern Hunan, China, best known for its location on the shores of Dongting Lake and its famous Yueyang Tower.
  • B. Qianjiang
    Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
  • C. Sichun
    Sichun is a Chinese given name notably borne by actress Ma Sichun, known for her roles in contemporary Chinese cinema and television.
  • D. Danjiangkou
    Danjiangkou is a county-level city in northwestern Hubei Province, China, known for the Danjiangkou Reservoir, a key source for the South–North Water Transfer Project.
  • E. Yueyanglou District
    Yueyanglou District is a central urban district of Yueyang City in Hunan Province, China, known for encompassing the historic Yueyang Tower area on the shores of Dongting Lake.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac485688190a2917251a7c8721a completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.