Triple

T21332397
Position Surface form Disambiguated ID Type / Status
Subject Lubei District E525937 entity
Predicate hasTransportConnection P845 FINISHED
Object Tangshan urban road network
The Tangshan urban road network is an integrated system of city streets and arterial roads that connects districts like Lubei within Tangshan, supporting local transportation and regional mobility.
E1478479 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: Tangshan urban road network | Statement: [Lubei District, hasTransportConnection, Tangshan urban road network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangshan urban road network
Context triple: [Lubei District, hasTransportConnection, Tangshan urban road network]
  • A. Beijing urban road network
    The Beijing urban road network is an extensive, hierarchical system of ring roads, arterial avenues, and expressways that organizes and connects the Chinese capital’s dense urban fabric and surrounding metropolitan area.
  • B. Shanghai urban road network
    The Shanghai urban road network is an extensive, high-density system of expressways, arterial roads, and local streets that connects Shanghai’s urban and suburban areas, supporting one of the world’s largest and busiest metropolitan regions.
  • C. Chongqing urban road network
    The Chongqing urban road network is an extensive and complex system of bridges, tunnels, and multilayered roads that connects the mountainous megacity’s dense urban districts across the Yangtze and Jialing rivers.
  • D. Beijing–Tianjin–Hebei regional transport network
    The Beijing–Tianjin–Hebei regional transport network is an integrated multi-modal transportation system that connects major cities and surrounding areas in northern China to support coordinated regional development.
  • E. Tehran urban road network
    The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
  • 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: Tangshan urban road network
Triple: [Lubei District, hasTransportConnection, Tangshan urban road network]
Generated description
The Tangshan urban road network is an integrated system of city streets and arterial roads that connects districts like Lubei within Tangshan, supporting local transportation and regional mobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tangshan urban road network
Target entity description: The Tangshan urban road network is an integrated system of city streets and arterial roads that connects districts like Lubei within Tangshan, supporting local transportation and regional mobility.
  • A. Beijing urban road network
    The Beijing urban road network is an extensive, hierarchical system of ring roads, arterial avenues, and expressways that organizes and connects the Chinese capital’s dense urban fabric and surrounding metropolitan area.
  • B. Shanghai urban road network
    The Shanghai urban road network is an extensive, high-density system of expressways, arterial roads, and local streets that connects Shanghai’s urban and suburban areas, supporting one of the world’s largest and busiest metropolitan regions.
  • C. Chongqing urban road network
    The Chongqing urban road network is an extensive and complex system of bridges, tunnels, and multilayered roads that connects the mountainous megacity’s dense urban districts across the Yangtze and Jialing rivers.
  • D. Beijing–Tianjin–Hebei regional transport network
    The Beijing–Tianjin–Hebei regional transport network is an integrated multi-modal transportation system that connects major cities and surrounding areas in northern China to support coordinated regional development.
  • E. Tehran urban road network
    The Tehran urban road network is the extensive system of streets, avenues, and highways that structures transportation and connectivity across Iran’s capital city.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba65c4081908b93d5dc6a937cb6 completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5be9c288190b44f760ad94d9fed completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6922e1c8190a2210b22ed1f31ef completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6f4db008190b11b10c45ab20ed5 completed May 17, 2026, 11:31 a.m.
Created at: April 16, 2026, 4:42 p.m.