Triple

T2863878
Position Surface form Disambiguated ID Type / Status
Subject Suzhou Museum E63388 entity
Predicate locatedInHistoricArea P19498 FINISHED
Object Suzhou old town E107819 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: Suzhou old town | Statement: [Suzhou Museum, locatedInHistoricArea, Suzhou old town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzhou old town
Context triple: [Suzhou Museum, locatedInHistoricArea, Suzhou old town]
  • A. Suzhou chosen
    Suzhou is a historic and economically significant city in eastern China, renowned for its classical gardens, canals, and silk industry.
  • B. Wuzhen
    Wuzhen is a historic water town in eastern China known for its ancient canals, traditional architecture, and cultural tourism.
  • C. Zhujiajiao water town
    Zhujiajiao water town is an ancient canal town on the outskirts of Shanghai, famed for its historic stone bridges, traditional riverside architecture, and network of picturesque waterways.
  • D. Qibao Old Street
    Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
  • E. Yangzhou
    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.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb853908190aa2fd492e9fa5e87 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da030a88190b9e23a461695176f completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.