Triple

T12337137
Position Surface form Disambiguated ID Type / Status
Subject Mao River E294116 entity
Predicate locatedIn P40 FINISHED
Object Qingpu District E49094 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: Qingpu District | Statement: [Mao River, locatedIn, Qingpu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qingpu District
Context triple: [Mao River, locatedIn, Qingpu District]
  • A. Qingpu District chosen
    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.
  • B. 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.
  • C. Songjiang District
    Songjiang District is a suburban district of Shanghai, China, known as one of the city's historical and cultural centers and a rapidly developing residential and educational hub.
  • D. Jinshan District
    Jinshan District is a coastal suburban district in northern Taiwan known for its hot springs, scenic shoreline, and location within New Taipei City.
  • E. Jinshan District
    Jinshan District is a suburban coastal district in southwestern Shanghai, known for its petrochemical industry, beaches, and growing residential communities.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 8, 2026, 9:53 p.m.