Triple

T12688048
Position Surface form Disambiguated ID Type / Status
Subject Fansipan E303124 entity
Predicate accessTown P36630 FINISHED
Object Sa Pa E998984 NE FINISHED

How this triple was built (2 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, accessTown, Sa Pa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sa Pa
Context triple: [Fansipan, accessTown, Sa Pa]
  • A. Sa Pa chosen
    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.
  • B. Baoting Hlai
    Baoting Hlai is a variety of the Hlai language spoken by the Li (Hlai) people in Baoting County on Hainan Island, China.
  • C. SaiPa
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • D. 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.
  • E. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.