Triple

T3317069
Position Surface form Disambiguated ID Type / Status
Subject Hai River E69706 entity
Predicate hasPort P35 FINISHED
Object Port of Tianjin E145544 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 Tianjin | Statement: [Hai River, hasPort, Port of Tianjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Tianjin
Context triple: [Hai River, hasPort, Port of Tianjin]
  • A. Port of Tianjin chosen
    The Port of Tianjin is one of China’s largest and busiest seaports, serving as a major maritime gateway to Beijing and the industrial north.
  • B. Port of Dalian
    The Port of Dalian is a major deep-water seaport in northeastern China that serves as a key gateway for international trade and shipping in the Bohai Sea region.
  • C. Port of Qinhuangdao
    The Port of Qinhuangdao is one of China's largest and busiest coal-exporting seaports, strategically located on the Bohai Sea and serving as a key hub for maritime trade in northern China.
  • D. Port of Shanghai
    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.
  • E. Yantai Port
    Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb11230b881908f5b554323729cc5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fd5440819092f6847e56c05ff8 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.