Triple

T1943749
Position Surface form Disambiguated ID Type / Status
Subject Puxi E42014 entity
Predicate contains P35 FINISHED
Object Jing'an District E43309 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: Jing'an District | Statement: [Puxi, contains, Jing'an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jing'an District
Context triple: [Puxi, contains, Jing'an District]
  • A. Jing’an District chosen
    Jing’an District is a central urban district of Shanghai known for its commercial centers, historic temples, and dense residential and business areas.
  • B. 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.
  • C. Xuhui District
    Xuhui District is a central urban district of Shanghai, China, known for its historic architecture, cultural institutions, and major commercial and educational hubs.
  • D. Yangpu District
    Yangpu District is an urban district in northeastern Shanghai known for its universities, technology hubs, and historic industrial waterfront along the Huangpu River.
  • E. Hongqiao District
    Hongqiao District is an urban administrative district of the municipality of Tianjin in northern China, known for its dense residential areas and commercial activity.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae4225081909ea0e59a5885cfc3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:36 p.m.