Triple

T8147928
Position Surface form Disambiguated ID Type / Status
Subject State of Jin E190260 entity
Predicate capital P234 FINISHED
Object Xintian (新田)
Xintian (新田) was an ancient Chinese city that served as the political and administrative center of the State of Jin during part of its history.
 E717346 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: Xintian (新田) | Statement: [State of Jin, capital, Xintian (新田)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xintian (新田)
Context triple: [State of Jin, capital, Xintian (新田)]
  • A. Xinyuan Township
    Xinyuan Township is a rural administrative township located in Pingtung County in southern Taiwan.
  • B. Xiangtan County
    Xiangtan County is an administrative county in Hunan Province, China, governed by the prefecture-level city of Xiangtan and known for its role in the region’s agricultural and industrial economy.
  • C. Yongxing Township
    Yongxing Township is a rural administrative township located within Nantou County in central Taiwan.
  • D. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • E. Daxi Township
    Daxi Township was the former administrative designation of what is now Daxi District, a historically rich area in Taoyuan, Taiwan, known for its old streets, traditional architecture, and cultural 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: Xintian (新田)
Triple: [State of Jin, capital, Xintian (新田)]
Generated description
Xintian (新田) was an ancient Chinese city that served as the political and administrative center of the State of Jin during part of its history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xintian (新田)
Target entity description: Xintian (新田) was an ancient Chinese city that served as the political and administrative center of the State of Jin during part of its history.
  • A. Xinyuan Township
    Xinyuan Township is a rural administrative township located in Pingtung County in southern Taiwan.
  • B. Xiangtan County
    Xiangtan County is an administrative county in Hunan Province, China, governed by the prefecture-level city of Xiangtan and known for its role in the region’s agricultural and industrial economy.
  • C. Yongxing Township
    Yongxing Township is a rural administrative township located within Nantou County in central Taiwan.
  • D. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • E. Daxi Township
    Daxi Township was the former administrative designation of what is now Daxi District, a historically rich area in Taoyuan, Taiwan, known for its old streets, traditional architecture, and cultural 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbee697208190a1d9c98b2a4414bd completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd8041c00819094094701ace21aa0 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:36 p.m.