Triple

T1910582
Position Surface form Disambiguated ID Type / Status
Subject The Bund E38100 entity
Predicate faces P1699 FINISHED
Object Lujiazui E189182 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: Lujiazui | Statement: [The Bund, faces, Lujiazui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lujiazui
Context triple: [The Bund, faces, Lujiazui]
  • A. Lujiazui chosen
    Lujiazui is Shanghai’s major financial district and futuristic skyline area on the east bank of the Huangpu River, known for its cluster of iconic skyscrapers.
  • B. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • C. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • D. Bao’an
    Bao’an is a historical county-level area in Guangdong, China, that once encompassed what is now the modern city of Shenzhen.
  • E. Kangqiao
    Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b88db48190a9229a7416054a85 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030e55f88190a9996d785066ea20 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:35 p.m.