Triple

T12256051
Position Surface form Disambiguated ID Type / Status
Subject Changzhou Railway Station E292102 entity
Predicate connectsTo P845 FINISHED
Object Xiamen E100120 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: Xiamen | Statement: [Changzhou Railway Station, connectsTo, Xiamen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiamen
Context triple: [Changzhou Railway Station, connectsTo, Xiamen]
  • A. Xiamen chosen
    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.
  • B. Fuzhou
    Fuzhou is the capital and largest city of China’s Fujian Province, known as a major coastal and river port with a long history of maritime trade and cultural exchange.
  • C. Zhangzhou
    Zhangzhou is a historic coastal city in southeastern China known for its agriculture, traditional Minnan culture, and proximity to Xiamen in Fujian Province.
  • D. Quanzhou
    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.
  • E. Ningde
    Ningde is a coastal prefecture-level city in northeastern Fujian Province, China, known for its mountainous landscapes, marine economy, and as the headquarters of battery giant CATL.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63461cacc81909958fbd745e5d065 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.