Triple

T11325512
Position Surface form Disambiguated ID Type / Status
Subject Ganzhou E268203 entity
Predicate partOfRegion P285 FINISHED
Object Gannan
Gannan is a region in southern Jiangxi Province, China, known for its Hakka culture, red revolutionary history, and mountainous landscapes.
 E919241 NE FINISHED

How this triple was built (4 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: Gannan | Statement: [Ganzhou, partOfRegion, Gannan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gannan
Context triple: [Ganzhou, partOfRegion, Gannan]
  • A. Anta Province
    Anta Province is an administrative subdivision in southern Peru, located within the Cusco Region and known for its Andean landscapes and agricultural communities.
  • B. Jilong
    Jilong is a major port city in northern Taiwan, known in English as Keelung.
  • C. Hither Province
    Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
  • D. Sulu Province
    Sulu Province is an island province in the southwestern Philippines, known for its predominantly Muslim population, rich maritime culture, and role as a historical center of the Sultanate of Sulu.
  • E. North Guang
    North Guang is a subgroup of the Guang branch of the Niger-Congo language family, comprising several closely related languages spoken primarily in Ghana.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gannan
Triple: [Ganzhou, partOfRegion, Gannan]
Generated description
Gannan is a region in southern Jiangxi Province, China, known for its Hakka culture, red revolutionary history, and mountainous landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gannan
Target entity description: Gannan is a region in southern Jiangxi Province, China, known for its Hakka culture, red revolutionary history, and mountainous landscapes.
  • A. Anta Province
    Anta Province is an administrative subdivision in southern Peru, located within the Cusco Region and known for its Andean landscapes and agricultural communities.
  • B. Jilong
    Jilong is a major port city in northern Taiwan, known in English as Keelung.
  • C. Hither Province
    Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
  • D. Sulu Province
    Sulu Province is an island province in the southwestern Philippines, known for its predominantly Muslim population, rich maritime culture, and role as a historical center of the Sultanate of Sulu.
  • E. North Guang
    North Guang is a subgroup of the Guang branch of the Niger-Congo language family, comprising several closely related languages spoken primarily in Ghana.
  • F. None of above. chosen

Provenance (5 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.