Triple

T7922682
Position Surface form Disambiguated ID Type / Status
Subject Xuhui District E183983 entity
Predicate hasChineseName P4878 FINISHED
Object 徐汇区 E183983 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: 徐汇区 | Statement: [Xuhui District, hasChineseName, 徐汇区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 徐汇区
Context triple: [Xuhui District, hasChineseName, 徐汇区]
  • A. Changning District
    Changning District is a central urban district of Shanghai, China, known for its residential neighborhoods, commercial centers, and the city’s main international airport, Hongqiao.
  • B. Xuhui District chosen
    Xuhui District is a central urban district of Shanghai, China, known for its historic architecture, cultural institutions, and major commercial and educational hubs.
  • C. Jiading District
    Jiading District is a suburban district in the northwestern part of Shanghai, China, known for its historic old town, automotive industry hub, and educational institutions.
  • D. Qingpu District
    Qingpu District is a suburban district in western Shanghai known for its historic water towns, scenic Dianshan Lake, and role as a growing residential and industrial area.
  • E. Baoshan District
    Baoshan District is a northern suburban district of Shanghai known for its industrial base, port facilities, and growing residential and educational areas.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:06 p.m.