Triple

T22776954
Position Surface form Disambiguated ID Type / Status
Subject Lok Ma Chau Control Point E563728 entity
Predicate connectsTo P845 FINISHED
Object Huanggang Port 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: Huanggang Port | Statement: [Lok Ma Chau Control Point, connectsTo, Huanggang Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huanggang Port
Context triple: [Lok Ma Chau Control Point, connectsTo, Huanggang Port]
  • A. Huanggang Port chosen
    Huanggang Port is a major land border crossing and transportation hub between Shenzhen, China and Hong Kong, facilitating significant passenger and cargo traffic.
  • B. Ezhou Port
    Ezhou Port is a river port on the Yangtze River in Hubei Province, China, serving as a regional hub for cargo transport and trade.
  • C. Huangshi Port
    Huangshi Port is a river port facility serving the city of Huangshi in Hubei Province, China, supporting regional cargo transport and trade along the Yangtze River.
  • D. Yichang Port
    Yichang Port is a major inland river port in China that serves as a key transportation and logistics hub on the middle reaches of the Yangtze River.
  • E. Shatoujiao Port
    Shatoujiao Port is a land border crossing between Shenzhen, China and Hong Kong, serving as an important gateway for passenger and goods movement in the region.
  • 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.