Triple

T12580693
Position Surface form Disambiguated ID Type / Status
Subject Zunyi E300326 entity
Predicate nearbySettlement P350 FINISHED
Object Maotai Town E965281 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: Maotai Town | Statement: [Zunyi, nearbySettlement, Maotai Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maotai Town
Context triple: [Zunyi, nearbySettlement, Maotai Town]
  • A. Maotai town chosen
    Maotai town is a historic riverside town in Guizhou, China, renowned as the birthplace of China’s most famous baijiu and a major center of traditional liquor production.
  • B. Luojing Town
    Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
  • C. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • D. Xikou Town
    Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
  • E. Liupanshui
    Liupanshui is a major industrial and mining city in western Guizhou Province, China, known for its coal resources, cool climate, and mountainous karst landscape.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 5:02 p.m.