Triple

T6553880
Position Surface form Disambiguated ID Type / Status
Subject Lianyungang E152396 entity
Predicate hasPart P35 FINISHED
Object Lianyun District
Lianyun District is an urban coastal district of Lianyungang in Jiangsu Province, China, known for its port facilities and seaside location on the Yellow Sea.
 E655274 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: Lianyun District | Statement: [Lianyungang, hasPart, Lianyun District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lianyun District
Context triple: [Lianyungang, hasPart, Lianyun District]
  • A. Jinyuan District
    Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
  • B. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • C. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • D. Sanzhi District
    Sanzhi District is a rural coastal district in northern Taiwan known for its scenic landscapes, hot springs, and agricultural produce within New Taipei City.
  • E. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial 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: Lianyun District
Triple: [Lianyungang, hasPart, Lianyun District]
Generated description
Lianyun District is an urban coastal district of Lianyungang in Jiangsu Province, China, known for its port facilities and seaside location on the Yellow Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lianyun District
Target entity description: Lianyun District is an urban coastal district of Lianyungang in Jiangsu Province, China, known for its port facilities and seaside location on the Yellow Sea.
  • A. Jinyuan District
    Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
  • B. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • C. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • D. Sanzhi District
    Sanzhi District is a rural coastal district in northern Taiwan known for its scenic landscapes, hot springs, and agricultural produce within New Taipei City.
  • E. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4f308048190a5c42022e3f9e855 completed March 28, 2026, 2:25 p.m.
NEDg Description generation batch_69c7e58bcc908190b4260b1adfb1629d completed March 28, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_69c7e67d64748190a4b5765a06413fd6 completed March 28, 2026, 2:32 p.m.
Created at: March 27, 2026, 1:51 p.m.