Triple

T8985673
Position Surface form Disambiguated ID Type / Status
Subject Jinqiao E214656 entity
Predicate partOf P40 FINISHED
Object Shanghai Municipality 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 Municipality | Statement: [Jinqiao, partOf, Shanghai Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanghai Municipality
Context triple: [Jinqiao, partOf, Shanghai Municipality]
  • 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. Pudong New Area
    Pudong New Area is a major district of Shanghai known for its modern skyline, financial hub in Lujiazui, and rapid urban and economic development along the eastern bank of the Huangpu River.
  • D. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • E. Changning City
    Changning City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Hengyang.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67eddbf08190afca16e0be435241 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d121dce22881909484977629cc8a54 completed April 4, 2026, 2:36 p.m.
Created at: March 30, 2026, 7:03 p.m.