Triple

T8077516
Position Surface form Disambiguated ID Type / Status
Subject Huangpu District, Shanghai E188528 entity
Predicate contains P35 FINISHED
Object Lujiazui ferry terminals 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 ferry terminals | Statement: [Huangpu District, Shanghai, contains, Lujiazui ferry terminals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lujiazui ferry terminals
Context triple: [Huangpu District, Shanghai, contains, Lujiazui ferry terminals]
  • 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. Zhanqiao Pier
    Zhanqiao Pier is a historic seaside pier and iconic symbol of Qingdao, China, known for its distinctive pavilion extending into the Yellow Sea.
  • C. Tianjin Jinmenhu
    Tianjin Jinmenhu is a professional Chinese football club based in Tianjin that competes in the Chinese Super League.
  • D. Dongshuimen Bridge
    Dongshuimen Bridge is a prominent cable-stayed road-rail bridge spanning the Yangtze River in Chongqing, China, known for its striking modern design and role in the city’s transit network.
  • E. Wudaokou
    Wudaokou is a bustling neighborhood in Beijing known for its universities, tech companies, and vibrant student nightlife.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a184488190b19ef7066f0f5057 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f3f6848190a719b8a9605218ee completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.