Triple

T14692625
Position Surface form Disambiguated ID Type / Status
Subject Handan City E345071 entity
Predicate hasChineseName P4878 FINISHED
Object 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.
E1114379 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: 邯郸市 | Statement: [Handan City, hasChineseName, 邯郸市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 邯郸市
Context triple: [Handan City, hasChineseName, 邯郸市]
  • A. 长治市
    长治市是位于中国山西省东南部的一座地级市,以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
  • B. 长治
    长治是位于中国山西省东南部的一座历史悠久的地级市,以煤炭资源和红色革命文化闻名。
  • C. Hengshui
    Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
  • D. Xingtai
    Xingtai is a historic prefecture-level city in southern Hebei Province, China, known as one of the country’s oldest cities and an important regional industrial and transportation hub.
  • E. Cangzhou
    Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
  • 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: 邯郸市
Triple: [Handan City, hasChineseName, 邯郸市]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 邯郸市
Target entity description: 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.
  • A. 长治市
    长治市是位于中国山西省东南部的一座地级市,以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
  • B. 长治
    长治是位于中国山西省东南部的一座历史悠久的地级市,以煤炭资源和红色革命文化闻名。
  • C. Hengshui
    Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
  • D. Xingtai
    Xingtai is a historic prefecture-level city in southern Hebei Province, China, known as one of the country’s oldest cities and an important regional industrial and transportation hub.
  • E. Cangzhou
    Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18b4bdc8190b5daf05484de7cd8 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5c65ce0819092a385e92243a3c7 completed May 8, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69fde638f42c8190ba56f9e2f4b03090 completed May 8, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:28 a.m.