Triple

T20492773
Position Surface form Disambiguated ID Type / Status
Subject 富春江 E502787 entity
Predicate locatedIn P40 FINISHED
Object 建德市
建德市是位于中国浙江省中西部、以秀丽山水和富春江风光著称的县级市。
E1434772 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: 建德市 | Statement: [富春江, locatedIn, 建德市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 建德市
Context triple: [富春江, locatedIn, 建德市]
  • A. Deqing County
    Deqing County is a county in northern Zhejiang Province, China, known for its scenic landscapes and popular tourist destinations such as the Moganshan mountain resort area.
  • B. Xinchang County
    Xinchang County is an administrative county under the jurisdiction of Shaoxing in Zhejiang Province, China, known for its mountainous scenery and historical Buddhist sites.
  • C. Jiaojiang District
    Jiaojiang District is the central urban district and administrative seat of Taizhou in Zhejiang Province, China, known as the city’s political, economic, and cultural hub.
  • D. Changxing County
    Changxing County is an administrative county in northern Zhejiang Province, China, known for its economic development, manufacturing industries, and location near Lake Tai.
  • E. Jiashan County
    Jiashan County is an administrative county under the jurisdiction of Jiaxing City in Zhejiang Province, eastern China, known for its developed economy and proximity to major cities like Shanghai and Hangzhou.
  • 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: 建德市
Triple: [富春江, locatedIn, 建德市]
Generated description
建德市是位于中国浙江省中西部、以秀丽山水和富春江风光著称的县级市。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 建德市
Target entity description: 建德市是位于中国浙江省中西部、以秀丽山水和富春江风光著称的县级市。
  • A. Deqing County
    Deqing County is a county in northern Zhejiang Province, China, known for its scenic landscapes and popular tourist destinations such as the Moganshan mountain resort area.
  • B. Xinchang County
    Xinchang County is an administrative county under the jurisdiction of Shaoxing in Zhejiang Province, China, known for its mountainous scenery and historical Buddhist sites.
  • C. Jiaojiang District
    Jiaojiang District is the central urban district and administrative seat of Taizhou in Zhejiang Province, China, known as the city’s political, economic, and cultural hub.
  • D. Changxing County
    Changxing County is an administrative county in northern Zhejiang Province, China, known for its economic development, manufacturing industries, and location near Lake Tai.
  • E. Jiashan County
    Jiashan County is an administrative county under the jurisdiction of Jiaxing City in Zhejiang Province, eastern China, known for its developed economy and proximity to major cities like Shanghai and Hangzhou.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893b8a86081908783a9b8cf2dc485 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08962f4e3881908df0bb55b6239c86 completed May 16, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0896b417bc8190963b69f84ea0e3c8 completed May 16, 2026, 4:09 p.m.
Created at: April 16, 2026, 11:35 a.m.