Triple

T15498387
Position Surface form Disambiguated ID Type / Status
Subject Tieling E378881 entity
Predicate chineseName P4878 FINISHED
Object 铁岭市
铁岭市是中国辽宁省中部的一个地级市，以农业资源丰富和作为沈阳经济圈重要组成部分而闻名。
 E1160070 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: 铁岭市 | Statement: [Tieling, chineseName, 铁岭市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 铁岭市
Context triple: [Tieling, chineseName, 铁岭市]
  • A. Liaoyang
    Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
  • B. Taoxian area of Shenyang
    The Taoxian area of Shenyang is a district of the city of Shenyang in Liaoning Province, China, best known as the location that gives its name to Shenyang Taoxian International Airport.
  • C. Benxi
    Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
  • D. Fuxin
    Fuxin is a prefecture-level city in northeastern China known historically for its coal mining industry and location in western Liaoning Province.
  • E. Fushun
    Fushun is an industrial city in northeastern China known historically for its coal mining and heavy industry.
  • 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: 铁岭市
Triple: [Tieling, chineseName, 铁岭市]
Generated description
铁岭市是中国辽宁省中部的一个地级市，以农业资源丰富和作为沈阳经济圈重要组成部分而闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 铁岭市
Target entity description: 铁岭市是中国辽宁省中部的一个地级市，以农业资源丰富和作为沈阳经济圈重要组成部分而闻名。
  • A. Liaoyang
    Liaoyang is an ancient industrial city in northeastern China known for its historical significance and role in the region’s heavy industry.
  • B. Taoxian area of Shenyang
    The Taoxian area of Shenyang is a district of the city of Shenyang in Liaoning Province, China, best known as the location that gives its name to Shenyang Taoxian International Airport.
  • C. Benxi
    Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
  • D. Fuxin
    Fuxin is a prefecture-level city in northeastern China known historically for its coal mining industry and location in western Liaoning Province.
  • E. Fushun
    Fushun is an industrial city in northeastern China known historically for its coal mining and heavy industry.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff3744ba8c81909989864ba107b93b completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37ee94b081909309062b2d30ede5 completed May 9, 2026, 1:34 p.m.
Created at: April 10, 2026, 3:53 a.m.