Triple

T8522471
Position Surface form Disambiguated ID Type / Status
Subject Century Park E201724 entity
Predicate ChineseName P744 FINISHED
Object 世纪公园
世纪公园是位于中国上海浦东新区的一座大型城市综合公园,以广阔的绿地、湖泊和休闲设施著称。
E738031 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: 世纪公园 | Statement: [Century Park, ChineseName, 世纪公园]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 世纪公园
Context triple: [Century Park, ChineseName, 世纪公园]
  • A. 外滩
    外滩是位于中国上海黄浦江西岸、以万国建筑群和城市天际线景观著称的历史性滨水区域与著名旅游地标。
  • B. Weiwuying Metropolitan Park
    Weiwuying Metropolitan Park is a large urban green space in Kaohsiung, Taiwan, known for its expansive lawns, recreational facilities, and integration with the nearby Weiwuying National Kaohsiung Center for the Arts.
  • C. Lujiazui Central Green Space
    Lujiazui Central Green Space is a large urban park and landscaped open area in Shanghai’s Lujiazui financial district, offering greenery, water features, and recreational space amid the surrounding skyscrapers.
  • D. Changfeng Park
    Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
  • E. Fuxing Park
    Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
  • 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: 世纪公园
Triple: [Century Park, ChineseName, 世纪公园]
Generated description
世纪公园是位于中国上海浦东新区的一座大型城市综合公园,以广阔的绿地、湖泊和休闲设施著称。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 世纪公园
Target entity description: 世纪公园是位于中国上海浦东新区的一座大型城市综合公园,以广阔的绿地、湖泊和休闲设施著称。
  • A. 外滩
    外滩是位于中国上海黄浦江西岸、以万国建筑群和城市天际线景观著称的历史性滨水区域与著名旅游地标。
  • B. Weiwuying Metropolitan Park
    Weiwuying Metropolitan Park is a large urban green space in Kaohsiung, Taiwan, known for its expansive lawns, recreational facilities, and integration with the nearby Weiwuying National Kaohsiung Center for the Arts.
  • C. Lujiazui Central Green Space
    Lujiazui Central Green Space is a large urban park and landscaped open area in Shanghai’s Lujiazui financial district, offering greenery, water features, and recreational space amid the surrounding skyscrapers.
  • D. Changfeng Park
    Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
  • E. Fuxing Park
    Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64215408190b45f462a32d3471d completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e8399f481909992aedf0d918cbc completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffcf7488190b94cae18be14e8ff completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce507766448190830dd3efc8a79a74 completed April 2, 2026, 11:18 a.m.
Created at: March 30, 2026, 6:16 p.m.