Triple

T17775248
Position Surface form Disambiguated ID Type / Status
Subject Zhongshan Road (Xiamen) E443750 entity
Predicate near P350 FINISHED
Object Xiamen ferry terminals 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 ferry terminals | Statement: [Zhongshan Road (Xiamen), near, Xiamen ferry terminals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiamen ferry terminals
Context triple: [Zhongshan Road (Xiamen), near, Xiamen ferry terminals]
  • 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. Xiamen
    Xiamen is a major coastal city in southeastern China known for its port, tourism, and historic role as one of the country’s earliest Special Economic Zones.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871c23408190aae7f1a2c77a10cb completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.