Triple

T3955057
Position Surface form Disambiguated ID Type / Status
Subject Huizhou (historical region) E84955 entity
Predicate hasCity P316 FINISHED
Object Jixi
Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
 E405398 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: Jixi | Statement: [Huizhou (historical region), hasCity, Jixi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jixi
Context triple: [Huizhou (historical region), hasCity, Jixi]
  • A. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • B. Yichun
    Yichun is a prefecture-level city in western Jiangxi Province, China, known for its natural scenery, hot springs, and cultural heritage.
  • C. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • D. Sihui
    Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
  • E. Jīlóng Shì
    Jīlóng Shì is the Mandarin Chinese pinyin name for Keelung City, a major port city in northern Taiwan.
  • 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: Jixi
Triple: [Huizhou (historical region), hasCity, Jixi]
Generated description
Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jixi
Target entity description: Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
  • A. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • B. Yichun
    Yichun is a prefecture-level city in western Jiangxi Province, China, known for its natural scenery, hot springs, and cultural heritage.
  • C. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • D. Sihui
    Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
  • E. Jīlóng Shì
    Jīlóng Shì is the Mandarin Chinese pinyin name for Keelung City, a major port city in northern Taiwan.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef93d742c81908639c843193d78fd completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c3de4688190b0eeb2604a65803e completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b54cafe41c8190aa294333e24f2d5f completed March 14, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69b54ce20be081908296da47e4ee9fc0 completed March 14, 2026, 11:56 a.m.
Created at: March 9, 2026, 3:30 p.m.