Triple

T6074156
Position Surface form Disambiguated ID Type / Status
Subject Chengdu Plain E135356 entity
Predicate containsCity P294 FINISHED
Object Ziyang
Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
 E571048 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: Ziyang | Statement: [Chengdu Plain, containsCity, Ziyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziyang
Context triple: [Chengdu Plain, containsCity, Ziyang]
  • A. Ziyang
    Ziyang is the art name (courtesy name) of Zhu Xi, the influential Neo-Confucian philosopher of the Southern Song dynasty.
  • B. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • C. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • D. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • E. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • 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: Ziyang
Triple: [Chengdu Plain, containsCity, Ziyang]
Generated description
Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziyang
Target entity description: Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
  • A. Ziyang
    Ziyang is the art name (courtesy name) of Zhu Xi, the influential Neo-Confucian philosopher of the Southern Song dynasty.
  • B. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • C. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • D. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • E. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575b9bc08190a78b3082b9ccf00c completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1357be6fc819092845e1ffe988c16 completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c137ec69488190bb7424280497799e completed March 23, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1384c36f081908740945c7852bd73 completed March 23, 2026, 12:55 p.m.
Created at: March 22, 2026, 4:11 p.m.