Triple

T12512630
Position Surface form Disambiguated ID Type / Status
Subject Chungking E299116 entity
Predicate historicalName P65 FINISHED
Object Yuzhou
Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
 E997656 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: Yuzhou | Statement: [Chungking, historicalName, Yuzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuzhou
Context triple: [Chungking, historicalName, Yuzhou]
  • A. Yuezhou
    Yuezhou is the historical name of the city now known as Yueyang, an important cultural and transport hub in Hunan Province, China.
  • B. Guanghe
    Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • E. Luohe
    Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport 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: Yuzhou
Triple: [Chungking, historicalName, Yuzhou]
Generated description
Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuzhou
Target entity description: Yuzhou is an old Chinese name historically used for the city now widely known as Chongqing.
  • A. Yuezhou
    Yuezhou is the historical name of the city now known as Yueyang, an important cultural and transport hub in Hunan Province, China.
  • B. Guanghe
    Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • E. Luohe
    Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541d6e508190a4992f328e077467 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f6732ea7408190a95f0a5f983dfdb7 completed May 2, 2026, 9:57 p.m.
Created at: April 8, 2026, 9:57 p.m.