Triple

T18534036
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Bay E452914 entity
Predicate hasPart P35 FINISHED
Object Shenzhen Bay 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: Shenzhen Bay Port | Statement: [Shenzhen Bay, hasPart, Shenzhen Bay Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen Bay Port
Context triple: [Shenzhen Bay, hasPart, Shenzhen Bay Port]
  • A. Shenzhen Bay Port chosen
    Shenzhen Bay Port is a major land-border crossing and transportation hub linking Shenzhen in mainland China with Hong Kong, facilitating significant passenger and cargo movement between the two regions.
  • B. Port of Shenzhen
    The Port of Shenzhen is one of the world’s busiest and most important container ports, serving as a major gateway for China’s international trade and manufacturing exports.
  • C. Nansha Port
    Nansha Port is a major deep-water seaport in Guangzhou, China, serving as a key container and logistics hub in the Pearl River Delta region.
  • D. Port of Zhuhai
    The Port of Zhuhai is a major coastal and river port complex in southern China that serves as a key hub for trade and transportation in the Pearl River Delta region.
  • E. Futian Port
    Futian Port is a major land border crossing and transportation hub between Shenzhen, China and Hong Kong, facilitating significant passenger and cargo movement.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.