Triple

T8219689
Position Surface form Disambiguated ID Type / Status
Subject Mountain City E192025 entity
Predicate alsoKnownAs P39 FINISHED
Object Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
E760557 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: Shancheng | Statement: [Mountain City, alsoKnownAs, Shancheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shancheng
Context triple: [Mountain City, alsoKnownAs, Shancheng]
  • A. Changle
    Changle is a coastal city in eastern China located on the Shandong Peninsula.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • D. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • E. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • 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: Shancheng
Triple: [Mountain City, alsoKnownAs, Shancheng]
Generated description
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shancheng
Target entity description: Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
  • A. Changle
    Changle is a coastal city in eastern China located on the Shandong Peninsula.
  • B. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • C. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • D. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • E. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb7772b76c8190b1952650c736eb91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8855a9c081909721a2efdc06d778 completed April 3, 2026, 9:28 a.m.
NEDg Description generation batch_69cf8a8c87dc81909d5c0d769341b17c completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b79a0b48190a29491f5f8f81217 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 5:45 p.m.