Triple

T2345999
Position Surface form Disambiguated ID Type / Status
Subject Baoshan District E45131 entity
Predicate contains P35 FINISHED
Object Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
E282026 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: Gucun Town | Statement: [Baoshan District, contains, Gucun Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gucun Town
Context triple: [Baoshan District, contains, Gucun Town]
  • A. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • B. 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.
  • C. 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.
  • D. Gaojing Town
    Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
  • E. Jinsha Township
    Jinsha Township is a rural township in Kinmen County, Taiwan, known for its coastal scenery, military history, and traditional Minnan culture.
  • 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: Gucun Town
Triple: [Baoshan District, contains, Gucun Town]
Generated description
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gucun Town
Target entity description: Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • A. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • B. 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.
  • C. 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.
  • D. Gaojing Town
    Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
  • E. Jinsha Township
    Jinsha Township is a rural township in Kinmen County, Taiwan, known for its coastal scenery, military history, and traditional Minnan culture.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c7cb9481909405aeb503f804ae completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af836559908190800f3be44aecd82f completed March 10, 2026, 2:35 a.m.
NEDg Description generation batch_69af858124908190b2c717aa1a44ee33 completed March 10, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69af86371b6c8190b17a7e57df9b4fb3 completed March 10, 2026, 2:47 a.m.
Created at: March 4, 2026, 7:52 p.m.