Triple

T22776953
Position Surface form Disambiguated ID Type / Status
Subject Lok Ma Chau Control Point E563728 entity
Predicate crosses P416 FINISHED
Object Shenzhen River NE NERFINISHED

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: Shenzhen River | Statement: [Lok Ma Chau Control Point, crosses, Shenzhen River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen River
Context triple: [Lok Ma Chau Control Point, crosses, Shenzhen River]
  • A. Shenzhen River chosen
    The Shenzhen River is a boundary river in southern China that forms part of the border between Hong Kong and the city of Shenzhen.
  • B. Huangpu River
    The Huangpu River is a significant waterway in eastern China that flows through the heart of Shanghai, dividing the city and serving as a vital shipping and cultural artery.
  • C. Tuen Mun River
    Tuen Mun River is a waterway in Hong Kong’s New Territories that flows through the Tuen Mun district before emptying into Castle Peak Bay.
  • D. Yuan River
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • E. Danshui River
    Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b6260a8819080e57481281dfe40 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.