Triple

T18277082
Position Surface form Disambiguated ID Type / Status
Subject Port of Foshan E437763 entity
Predicate connectedTo P37 FINISHED
Object Port of Guangzhou 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 Guangzhou | Statement: [Port of Foshan, connectedTo, Port of Guangzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Guangzhou
Context triple: [Port of Foshan, connectedTo, 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. 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.
  • C. 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.
  • D. Port of Foshan
    The Port of Foshan is an inland river port and major regional shipping hub located in Foshan along China’s Pearl River Delta.
  • E. 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.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.