Triple

T11292220
Position Surface form Disambiguated ID Type / Status
Subject Jiangsu Road Station E267352 entity
Predicate serves P98 FINISHED
Object Changning District E46358 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: Changning District | Statement: [Jiangsu Road Station, serves, Changning District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changning District
Context triple: [Jiangsu Road Station, serves, Changning District]
  • A. Changning District chosen
    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. 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.
  • 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. Jing’an District
    Jing’an District is a central urban district of Shanghai known for its commercial centers, historic temples, and dense residential and business areas.
  • E. 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.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b2e59e88190b58fdf9d9643aef9 completed May 9, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:32 p.m.