Triple

T8104053
Position Surface form Disambiguated ID Type / Status
Subject Lujiazui E189182 entity
Predicate partOf P40 FINISHED
Object Pudong E39222 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: Pudong | Statement: [Lujiazui, partOf, Pudong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pudong
Context triple: [Lujiazui, partOf, Pudong]
  • A. Pudong New Area chosen
    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.
  • B. Puxi
    Puxi is the historic, densely urbanized western part of Shanghai, known for its traditional neighborhoods, commercial districts, and cultural landmarks.
  • C. Hongkou District
    Hongkou District is a central urban district of Shanghai, China, known for its historic neighborhoods, cultural landmarks, and role in the city’s commercial and residential life.
  • D. 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.
  • E. 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.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bf1cb0819099dda4f050f8e95e completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e5358888190ad1b5771ca00a097 completed April 3, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:31 p.m.