Triple

T23106873
Position Surface form Disambiguated ID Type / Status
Subject Dongguan Street E576192 entity
Predicate partOf P40 FINISHED
Object Yangzhou old town 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: Yangzhou old town | Statement: [Dongguan Street, partOf, Yangzhou old town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangzhou old town
Context triple: [Dongguan Street, partOf, Yangzhou old town]
  • A. Yangzhou chosen
    Yangzhou is a historic city in eastern China renowned for its canals, gardens, and role as a major cultural and commercial center along the Grand Canal.
  • B. Songjiang Old Town
    Songjiang Old Town is a historic district in Shanghai known for its ancient architecture, traditional waterways, and well-preserved cultural heritage.
  • C. Jiayuguan City
    Jiayuguan City is a county-level city in Gansu Province, China, best known as the site of the western terminus of the Ming Great Wall and its famous Jiayuguan Pass fortress.
  • D. Nanxun Ancient Town
    Nanxun Ancient Town is a well-preserved historic water town in Zhejiang, China, renowned for its traditional canals, ancient residences, and blend of Chinese and Western architectural styles.
  • E. Zhouzhuang
    Zhouzhuang is one of China’s most famous ancient water towns, renowned for its well-preserved canals, stone bridges, and traditional Jiangnan architecture.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0bb27c8190a17942d9b88bb158 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.