Triple

T8006234
Position Surface form Disambiguated ID Type / Status
Subject Erlitou site E186370 entity
Predicate locatedIn P40 FINISHED
Object Yanshi
Yanshi is a county-level city in Henan Province, China, known for its important Bronze Age archaeological remains and early Chinese urban development.
 E705433 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: Yanshi | Statement: [Erlitou site, locatedIn, Yanshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yanshi
Context triple: [Erlitou site, locatedIn, Yanshi]
  • A. Yanyou
    Yanyou was a reign era of the Yuan dynasty under Emperor Ayurbarwada Buyantu Khan in the early 14th century.
  • B. Yüeh
    Yüeh is an alternative romanization of "Yue," a term historically associated with various ancient peoples and regions in southern China and their related languages and cultures.
  • C. Yurong
    Yurong is a given name of Chinese origin commonly used for females and associated with elegance and refinement.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Wayao
    Wayao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Asia known for their distinct cultural traditions and languages.
  • 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: Yanshi
Triple: [Erlitou site, locatedIn, Yanshi]
Generated description
Yanshi is a county-level city in Henan Province, China, known for its important Bronze Age archaeological remains and early Chinese urban development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yanshi
Target entity description: Yanshi is a county-level city in Henan Province, China, known for its important Bronze Age archaeological remains and early Chinese urban development.
  • A. Yanyou
    Yanyou was a reign era of the Yuan dynasty under Emperor Ayurbarwada Buyantu Khan in the early 14th century.
  • B. Yüeh
    Yüeh is an alternative romanization of "Yue," a term historically associated with various ancient peoples and regions in southern China and their related languages and cultures.
  • C. Yurong
    Yurong is a given name of Chinese origin commonly used for females and associated with elegance and refinement.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Wayao
    Wayao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Asia known for their distinct cultural traditions and languages.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.