Triple

T22307146
Position Surface form Disambiguated ID Type / Status
Subject Komatsu E551408 entity
Predicate hasSisterCity P919 FINISHED
Object Taicang 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: Taicang | Statement: [Komatsu, hasSisterCity, Taicang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taicang
Context triple: [Komatsu, hasSisterCity, Taicang]
  • A. Changshu
    Changshu is a county-level city in Jiangsu Province, eastern China, known for its textile industry, historic sites, and location near Suzhou and Shanghai.
  • B. Taicang, Jiangsu chosen
    Taicang, Jiangsu is a county-level city under Suzhou in eastern China, known for its developed port on the Yangtze River estuary and its strong manufacturing and logistics industries.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. Taizhou
    Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
  • E. Taizhou
    Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574bccb08190a6236dd14cf0fc5b completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.