Triple

T23088594
Position Surface form Disambiguated ID Type / Status
Subject 贺龙 E575680 entity
Predicate 纪念设施 P115845 FINISHED
Object 贺龙公园
贺龙公园是一座位于中国湖南、以纪念开国元勋和著名军事家贺龙元帅为主题的城市公园与纪念景区。
 E1570151 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: 贺龙公园 | Statement: [贺龙, 纪念设施, 贺龙公园]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 贺龙公园
Context triple: [贺龙, 纪念设施, 贺龙公园]
  • A. 莲花山公园
    莲花山公园 is a large urban park in Shenzhen, China, known for its hilltop views of the city skyline and the iconic Deng Xiaoping statue.
  • B. 香山公园
    香山公园 is a historic imperial garden and popular scenic park in Beijing, famed for its wooded hills, autumn foliage, and traditional Chinese pavilions and temples.
  • C. 地坛公园
    地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
  • D. 日坛公园
    日坛公园是位于北京市东城区、以明清祭日坛遗址为核心的历史文化公园。
  • E. Huanhuaxi Park
    Huanhuaxi Park is a scenic urban park in Chengdu, China, known for its waterways, lush greenery, and tranquil walking paths.
  • 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: 贺龙公园
Triple: [贺龙, 纪念设施, 贺龙公园]
Generated description
贺龙公园是一座位于中国湖南、以纪念开国元勋和著名军事家贺龙元帅为主题的城市公园与纪念景区。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 贺龙公园
Target entity description: 贺龙公园是一座位于中国湖南、以纪念开国元勋和著名军事家贺龙元帅为主题的城市公园与纪念景区。
  • A. 莲花山公园
    莲花山公园 is a large urban park in Shenzhen, China, known for its hilltop views of the city skyline and the iconic Deng Xiaoping statue.
  • B. 香山公园
    香山公园 is a historic imperial garden and popular scenic park in Beijing, famed for its wooded hills, autumn foliage, and traditional Chinese pavilions and temples.
  • C. 地坛公园
    地坛公园是位于北京市东城区、以明清祭地坛遗址为核心的历史文化公园和城市绿地。
  • D. 日坛公园
    日坛公园是位于北京市东城区、以明清祭日坛遗址为核心的历史文化公园。
  • E. Huanhuaxi Park
    Huanhuaxi Park is a scenic urban park in Chengdu, China, known for its waterways, lush greenery, and tranquil walking paths.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da7c54c81908b62d04ab1811b06 completed April 29, 2026, 4:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b4ddd08190bf04711266d683cf completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c17791f8481909f0f42f9122e0c3a completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1863ea2c81909345cb5701fcd8ed completed May 19, 2026, 7:59 a.m.
Created at: April 17, 2026, 3:57 p.m.