Triple

T13623156
Position Surface form Disambiguated ID Type / Status
Subject Hutuo River E325507 entity
Predicate locatedInAdministrativeArea P40 FINISHED
Object Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
E1050762 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: Xinle | Statement: [Hutuo River, locatedInAdministrativeArea, Xinle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xinle
Context triple: [Hutuo River, locatedInAdministrativeArea, Xinle]
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. Xin’an
    Xin’an is the former name of Nantou, a historic town in Shenzhen, China, that once served as an important administrative and commercial center in the region.
  • C. Xin'an
    Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • 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: Xinle
Triple: [Hutuo River, locatedInAdministrativeArea, Xinle]
Generated description
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xinle
Target entity description: Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. Xin’an
    Xin’an is the former name of Nantou, a historic town in Shenzhen, China, that once served as an important administrative and commercial center in the region.
  • C. Xin'an
    Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f7815a858c8190a9ae47012d04f8e1 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:50 p.m.