Triple

T17946581
Position Surface form Disambiguated ID Type / Status
Subject Chiwan E448717 entity
Predicate partOf P40 FINISHED
Object Port of Shenzhen 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: Port of Shenzhen | Statement: [Chiwan, partOf, Port of Shenzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Shenzhen
Context triple: [Chiwan, partOf, Port of Shenzhen]
  • A. Port of Shenzhen chosen
    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.
  • B. Shenzhen Bay Port
    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.
  • C. 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.
  • D. Port of Guangzhou
    The Port of Guangzhou is one of China’s largest and busiest seaports, serving as a major hub for international trade and shipping in the Pearl River Delta region.
  • E. 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.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad99df408190a8a4e3d21c03fe71 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.