Triple

T7394194
Position Surface form Disambiguated ID Type / Status
Subject Synopsys E170579 entity
Predicate majorOffice P17674 FINISHED
Object Shanghai, China E5256 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: Shanghai, China | Statement: [Synopsys, majorOffice, Shanghai, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanghai, China
Context triple: [Synopsys, majorOffice, Shanghai, China]
  • A. Shanghai chosen
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • B. Shanghai
    Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
  • C. Shenzhen, China
    Shenzhen, China is a major southern Chinese metropolis known for its rapid transformation into a global technology and manufacturing hub bordering Hong Kong.
  • D. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • E. Shanghai International Settlement
    The Shanghai International Settlement was a foreign-controlled enclave in Shanghai that operated from the mid-19th century until World War II, serving as a major hub of international trade, finance, and expatriate life in China.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f4eb5c808190ba08956bcf297ea8 completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810f82ba08190919924b0994a2eee completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.