Triple

T15183507
Position Surface form Disambiguated ID Type / Status
Subject Lao Cai Province E362807 entity
Predicate hasAdministrativeUnit P3892 FINISHED
Object Sa Pa Town 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 Town | Statement: [Lao Cai Province, hasAdministrativeUnit, Sa Pa Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sa Pa Town
Context triple: [Lao Cai Province, hasAdministrativeUnit, Sa Pa Town]
  • 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. Cao Bang City
    Cao Bang City is a small provincial capital in northern Vietnam known as a gateway to historic revolutionary sites and scenic mountainous landscapes near the Chinese border.
  • C. Phu Ly City
    Phu Ly City is the capital and main urban, economic, and administrative center of Ha Nam Province in northern Vietnam.
  • D. Lao Cai City
    Lao Cai City is an urban center in northern Vietnam, serving as a key border city and gateway for trade and travel between Vietnam and China.
  • E. Long Xuyen
    Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006663ad48190986b680001be0e9b completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2a2eb48190a569847d2f583c61 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:09 a.m.