Triple

T4399799
Position Surface form Disambiguated ID Type / Status
Subject Pearl River E93586 entity
Predicate hasPort P35 FINISHED
Object Port of Guangzhou E165029 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: Port of Guangzhou | Statement: [Pearl River, hasPort, Port of Guangzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Guangzhou
Context triple: [Pearl River, hasPort, Port of Guangzhou]
  • A. Port of Guangzhou chosen
    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.
  • 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. Guangzhou
    Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
  • 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. 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.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53d34cc81909969d86efc441dee completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:27 p.m.