Triple

T8530057
Position Surface form Disambiguated ID Type / Status
Subject Pingdingshan E201921 entity
Predicate ChineseName P744 FINISHED
Object 平顶山
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
 E741706 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: 平顶山 | Statement: [Pingdingshan, ChineseName, 平顶山]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 平顶山
Context triple: [Pingdingshan, ChineseName, 平顶山]
  • A. Zhumadian
    Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
  • B. 南阳
    南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
  • C. Zhoukou
    Zhoukou is a prefecture-level city in eastern Henan Province, China, known as an important agricultural and transportation hub with historical and cultural significance.
  • D. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • E. Zhengzhou
    Zhengzhou is a major city in central China that serves as the capital of Henan Province and an important national transportation and industrial hub.
  • 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: 平顶山
Triple: [Pingdingshan, ChineseName, 平顶山]
Generated description
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 平顶山
Target entity description: 平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
  • A. Zhumadian
    Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
  • B. 南阳
    南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
  • C. Zhoukou
    Zhoukou is a prefecture-level city in eastern Henan Province, China, known as an important agricultural and transportation hub with historical and cultural significance.
  • D. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • E. Zhengzhou
    Zhengzhou is a major city in central China that serves as the capital of Henan Province and an important national transportation and industrial hub.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.