Triple

T21332384
Position Surface form Disambiguated ID Type / Status
Subject Lubei District E525937 entity
Predicate hasChineseName P4878 FINISHED
Object 路北区
路北区 is an urban district of Tangshan City in Hebei Province, China, serving as one of its central administrative and commercial areas.
 E1478477 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: 路北区 | Statement: [Lubei District, hasChineseName, 路北区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 路北区
Context triple: [Lubei District, hasChineseName, 路北区]
  • A. 路南区
    路南区 is an urban district of Tangshan City in Hebei Province, China, known as one of its central administrative and commercial areas.
  • B. 南开区
    南开区 is a central urban district of Tianjin, China, known for its educational institutions, commercial areas, and historical neighborhoods.
  • C. 丛台区
    丛台区 is an urban district of Handan City in Hebei Province, China, known as one of its central administrative and commercial areas.
  • D. 滦县
    滦县是位于中国河北省东北部、靠近唐山市的一座县级行政区，以其悠久历史和农业为主的地方经济而闻名。
  • E. 邯郸市
    邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
  • 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: 路北区
Triple: [Lubei District, hasChineseName, 路北区]
Generated description
路北区 is an urban district of Tangshan City in Hebei Province, China, serving as one of its central administrative and commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 路北区
Target entity description: 路北区 is an urban district of Tangshan City in Hebei Province, China, serving as one of its central administrative and commercial areas.
  • A. 路南区
    路南区 is an urban district of Tangshan City in Hebei Province, China, known as one of its central administrative and commercial areas.
  • B. 南开区
    南开区 is a central urban district of Tianjin, China, known for its educational institutions, commercial areas, and historical neighborhoods.
  • C. 丛台区
    丛台区 is an urban district of Handan City in Hebei Province, China, known as one of its central administrative and commercial areas.
  • D. 滦县
    滦县是位于中国河北省东北部、靠近唐山市的一座县级行政区，以其悠久历史和农业为主的地方经济而闻名。
  • E. 邯郸市
    邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
  • 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.