Triple

T13012498
Position Surface form Disambiguated ID Type / Status
Subject Shantou E322453 entity
Predicate isPartOfRegion P9956 FINISHED
Object Chaoshan region E764017 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: Chaoshan region | Statement: [Shantou, isPartOfRegion, Chaoshan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaoshan region
Context triple: [Shantou, isPartOfRegion, Chaoshan region]
  • A. Chaoshan region
    The Chaoshan region is an area in eastern Guangdong, China, known for its distinct Teochew culture, language, and cuisine.
  • B. Chaoshan chosen
    Chaoshan is a culturally distinct region in eastern Guangdong, China, known for its Teochew-speaking population, rich culinary traditions, and influential diaspora communities.
  • C. Cibao region
    The Cibao region is a culturally rich and economically important area in the northern Dominican Republic, known for its fertile valleys, vibrant cities, and strong baseball tradition.
  • D. Siwai region
    The Siwai region is the traditional homeland of the Siwai people in southern Bougainville, Papua New Guinea, known for its distinct language, social organization, and cultural practices.
  • E. Huangsha area
    The Huangsha area is a commercial and transportation hub in Guangzhou, China, known for its markets, riverfront location, and connectivity via the metro system.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10d5b9881909db688c1ab0e6a77 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:49 p.m.