Triple

T22351427
Position Surface form Disambiguated ID Type / Status
Subject Songyu Port Area E552538 entity
Predicate belongsTo P35 FINISHED
Object Xiamen port system 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: Xiamen port system | Statement: [Songyu Port Area, belongsTo, Xiamen port system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiamen port system
Context triple: [Songyu Port Area, belongsTo, Xiamen port system]
  • A. Port of Xiamen chosen
    The Port of Xiamen is a major deep-water seaport and international shipping hub on the southeast coast of China, serving as a key gateway for trade across the Taiwan Strait and the broader Asia-Pacific region.
  • B. Fuzhou Port
    Fuzhou Port is a key seaport and shipping hub in Fujian Province that supports international trade and regional economic activity in southern China.
  • C. Zhangzhou Port
    Zhangzhou Port is a coastal seaport in Fujian Province, China, serving as a regional hub for maritime trade and transportation.
  • D. Jinjiang Port
    Jinjiang Port is a coastal commercial port in Jinjiang, Fujian Province, China, serving as a regional hub for maritime trade and logistics.
  • E. Futian Port
    Futian Port is a major land border crossing and transportation hub between Shenzhen, China and Hong Kong, facilitating significant passenger and cargo movement.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579be6d8819088fed70f54ff4e66 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.