Triple

T20968150
Position Surface form Disambiguated ID Type / Status
Subject Hokkien people E516422 entity
Predicate historicalCenter P2536 FINISHED
Object Quanzhou port 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: Quanzhou port | Statement: [Hokkien people, historicalCenter, Quanzhou port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quanzhou port
Context triple: [Hokkien people, historicalCenter, Quanzhou port]
  • A. Quanzhou chosen
    Quanzhou is a historic coastal city in southeastern China that flourished as one of the world’s busiest maritime trade hubs, especially during the Song and Yuan dynasties.
  • B. Lüshun Port
    Lüshun Port is a strategically important natural harbor in Dalian, Liaoning, China, historically known as Port Arthur and noted for its military and naval significance.
  • C. Jinjiang Port
    Jinjiang Port is a coastal commercial port in Jinjiang, Fujian Province, China, serving as a regional hub for maritime trade and logistics.
  • D. 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.
  • E. Zhangzhou Port
    Zhangzhou Port is a coastal seaport in Fujian Province, China, serving as a regional hub for maritime trade and transportation.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:40 p.m.