Triple

T12688018
Position Surface form Disambiguated ID Type / Status
Subject Fansipan E303124 entity
Predicate near P350 FINISHED
Object Sa Pa
Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
E998984 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: Sa Pa | Statement: [Fansipan, near, Sa Pa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sa Pa
Context triple: [Fansipan, near, Sa Pa]
  • A. Baoting Hlai
    Baoting Hlai is a variety of the Hlai language spoken by the Li (Hlai) people in Baoting County on Hainan Island, China.
  • B. SaiPa
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • C. Kontum
    Kontum is a city and province in Vietnam’s Central Highlands that became a major battleground during the Vietnam War, notably in the 1972 Easter Offensive.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Pa Cô
    Pa Cô is an ethnic minority group in central Vietnam, traditionally inhabiting mountainous areas and known for its distinct language and cultural practices.
  • 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: Sa Pa
Triple: [Fansipan, near, Sa Pa]
Generated description
Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sa Pa
Target entity description: Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
  • A. Baoting Hlai
    Baoting Hlai is a variety of the Hlai language spoken by the Li (Hlai) people in Baoting County on Hainan Island, China.
  • B. SaiPa
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • C. Kontum
    Kontum is a city and province in Vietnam’s Central Highlands that became a major battleground during the Vietnam War, notably in the 1972 Easter Offensive.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Pa Cô
    Pa Cô is an ethnic minority group in central Vietnam, traditionally inhabiting mountainous areas and known for its distinct language and cultural practices.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d8cb048190864a85dd75648820 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671aacfa8819088fd113474638238 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6751f79148190a1735abf489fd106 completed May 2, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69f675c42fec8190b60751c0db88f3b6 completed May 2, 2026, 10:08 p.m.
Created at: April 9, 2026, 5:21 p.m.