Triple

T10446263
Position Surface form Disambiguated ID Type / Status
Subject CNSHA E246295 entity
Predicate associatedWithPort P2830 FINISHED
Object Port of Shanghai E48168 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 Shanghai | Statement: [CNSHA, associatedWithPort, Port of Shanghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Shanghai
Context triple: [CNSHA, associatedWithPort, Port of Shanghai]
  • A. Port of Shanghai chosen
    The Port of Shanghai is the world’s busiest container port and a major global shipping and logistics hub located at the mouth of the Yangtze River in eastern China.
  • B. Zhoushan Port
    Zhoushan Port is a major deep-water seaport in eastern China that serves as a key hub for maritime trade and shipping in the East China Sea.
  • C. Waigaoqiao Port
    Waigaoqiao Port is a major deep-water container and cargo port in Shanghai, China, serving as a key hub for international maritime trade.
  • D. Zhenjiang Port
    Zhenjiang Port is a major river port on the Yangtze River in Jiangsu Province, China, serving as an important hub for regional trade and transportation.
  • E. 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.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdc0520c819098d2d53ee46a89ae completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b2803d88190ab93dd19b4cfee30 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:16 p.m.