Triple

T10690981
Position Surface form Disambiguated ID Type / Status
Subject Suzhou Creek E252006 entity
Predicate alsoKnownAs P39 FINISHED
Object Wusong River E252006 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: Wusong River | Statement: [Suzhou Creek, alsoKnownAs, Wusong River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wusong River
Context triple: [Suzhou Creek, alsoKnownAs, Wusong River]
  • A. Suzhou Creek chosen
    Suzhou Creek is a major river in Shanghai that flows through the city’s urban core and joins the Huangpu River, historically serving as an important industrial and transportation waterway.
  • B. Wu River
    The Wu River is a significant river in southwestern China known for flowing through deep gorges and contributing substantially to the Yangtze River system.
  • C. Fenghua River
    The Fenghua River is a significant waterway in Zhejiang Province, China, flowing through the city of Fenghua and contributing to the region’s ecology, agriculture, and urban landscape.
  • D. Shuangqiao River
    Shuangqiao River is a river in eastern China that serves as one of the tributaries feeding into Chaohu Lake.
  • E. Jingjiang River
    Jingjiang River is a historically significant, highly sinuous section of the Yangtze River in central China, known for its sharp bends and extensive river-training works.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6878a54819080050011e718c4e8 completed April 18, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:11 p.m.