Triple

T7968428
Position Surface form Disambiguated ID Type / Status
Subject Nanning E185263 entity
Predicate nickname P55 FINISHED
Object Green City
Green City is the popular nickname of Nanning, the capital of China’s Guangxi Zhuang Autonomous Region, known for its lush vegetation and abundant urban greenery.
 E488162 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: Green City | Statement: [Nanning, nickname, Green City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green City
Context triple: [Nanning, nickname, Green City]
  • A. Green City
    Green City is a lush, verdant urban area known for its abundant greenery and natural landscapes.
  • B. Clean City
    Clean City is a popular nickname for Rajshahi, a major city in western Bangladesh known for its cleanliness and greenery.
  • C. Green City in the Sun
    Green City in the Sun is a popular nickname for Nairobi, highlighting the Kenyan capital’s lush greenery and warm, sunny climate.
  • D. Sustainability District
    Sustainability District is one of Expo 2020 Dubai’s main themed zones, showcasing innovations, pavilions, and experiences focused on environmental stewardship and sustainable development.
  • E. City of Gardens
    The "City of Gardens" is a poetic nickname for Shiraz, a historic Iranian city renowned for its lush gardens, literary heritage, and cultural significance.
  • 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: Green City
Triple: [Nanning, nickname, Green City]
Generated description
Green City is the popular nickname of Nanning, the capital of China’s Guangxi Zhuang Autonomous Region, known for its lush vegetation and abundant urban greenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green City
Target entity description: Green City is the popular nickname of Nanning, the capital of China’s Guangxi Zhuang Autonomous Region, known for its lush vegetation and abundant urban greenery.
  • A. Green City chosen
    Green City is a lush, verdant urban area known for its abundant greenery and natural landscapes.
  • B. Clean City
    Clean City is a popular nickname for Rajshahi, a major city in western Bangladesh known for its cleanliness and greenery.
  • C. Green City in the Sun
    Green City in the Sun is a popular nickname for Nairobi, highlighting the Kenyan capital’s lush greenery and warm, sunny climate.
  • D. Sustainability District
    Sustainability District is one of Expo 2020 Dubai’s main themed zones, showcasing innovations, pavilions, and experiences focused on environmental stewardship and sustainable development.
  • E. City of Gardens
    The "City of Gardens" is a poetic nickname for Shiraz, a historic Iranian city renowned for its lush gardens, literary heritage, and cultural significance.
  • F. None of above.

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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cc46c11e68819087f5083bb85ec7ab completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47fa1524819089ef5b3f8bf7f670 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:13 p.m.