Triple

T10906416
Position Surface form Disambiguated ID Type / Status
Subject Luodian Town E257580 entity
Predicate hasTransportConnection P845 FINISHED
Object 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.
E892486 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: Shanghai urban road network | Statement: [Luodian Town, hasTransportConnection, Shanghai urban road network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanghai urban road network
Context triple: [Luodian Town, hasTransportConnection, Shanghai urban road network]
  • A. Hanoi urban road network
    The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
  • B. 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.
  • C. Shanghai urban public transport network
    The Shanghai urban public transport network is a vast, multimodal system of metro lines, buses, trams, and related services that provides dense, high-capacity transit coverage across the city.
  • D. Recife urban road network
    The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
  • E. 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.
  • 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: Shanghai urban road network
Triple: [Luodian Town, hasTransportConnection, Shanghai urban road network]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shanghai urban road network
Target entity description: 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.
  • A. Hanoi urban road network
    The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
  • B. 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.
  • C. Shanghai urban public transport network
    The Shanghai urban public transport network is a vast, multimodal system of metro lines, buses, trams, and related services that provides dense, high-capacity transit coverage across the city.
  • D. Recife urban road network
    The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
  • E. 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.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706679b48190a1f29fc64fe8a334 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e1801dc2e8819099bc862705871761 completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831802608190b5c3c5a4e8d8681a completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.