Triple

T4081235
Position Surface form Disambiguated ID Type / Status
Subject Ibn Battuta E87480 entity
Predicate visitedCity P16949 FINISHED
Object Quanzhou E97206 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: Quanzhou | Statement: [Ibn Battuta, visitedCity, Quanzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quanzhou
Context triple: [Ibn Battuta, visitedCity, Quanzhou]
  • 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. Zhangzhou
    Zhangzhou is a historic coastal city in southeastern China known for its agriculture, traditional Minnan culture, and proximity to Xiamen in Fujian Province.
  • C. 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.
  • D. 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.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc5204d881909829de15015aa50d completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c3e1b081908cd783d9399a751f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.