Triple

T15611779
Position Surface form Disambiguated ID Type / Status
Subject Yuzhong County E375312 entity
Predicate administrativeCenter P1474 FINISHED
Object Chengguan town
Chengguan town is the main urban hub and political, economic, and cultural center of Yuzhong County in Gansu Province, China.
E1167082 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: Chengguan town | Statement: [Yuzhong County, administrativeCenter, Chengguan town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengguan town
Context triple: [Yuzhong County, administrativeCenter, Chengguan town]
  • A. Gaotangling town
    Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, China.
  • B. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • C. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • D. Guanyin town
    Guanyin town is a locality in the Xuzhou area of Jiangsu Province, China, known for hosting the nearby Xuzhou Guanyin International Airport.
  • E. Miaohang Town
    Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
  • 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: Chengguan town
Triple: [Yuzhong County, administrativeCenter, Chengguan town]
Generated description
Chengguan town is the main urban hub and political, economic, and cultural center of Yuzhong County in Gansu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chengguan town
Target entity description: Chengguan town is the main urban hub and political, economic, and cultural center of Yuzhong County in Gansu Province, China.
  • A. Gaotangling town
    Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, China.
  • B. Gucun Town
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • C. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • D. Guanyin town
    Guanyin town is a locality in the Xuzhou area of Jiangsu Province, China, known for hosting the nearby Xuzhou Guanyin International Airport.
  • E. Miaohang Town
    Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.