Triple

T13804501
Position Surface form Disambiguated ID Type / Status
Subject Mount Phousi E331725 entity
Predicate near P350 FINISHED
Object Sisavangvong Road E1052115 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: Sisavangvong Road | Statement: [Mount Phousi, near, Sisavangvong Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisavangvong Road
Context triple: [Mount Phousi, near, Sisavangvong Road]
  • A. Sisavangvong Road chosen
    Sisavangvong Road is a central street in Luang Prabang, Laos, known for its historic architecture, cultural landmarks, and bustling night market.
  • B. Truong Son Street
    Truong Son Street is a major road in Ho Chi Minh City that provides primary access to the Tân Sơn Nhất International Airport area.
  • C. Norodom Boulevard
    Norodom Boulevard is a major thoroughfare in central Phnom Penh, Cambodia, known for its governmental buildings, landmarks, and role as a key axis of the city.
  • D. Mahabandoola Road
    Mahabandoola Road is a major thoroughfare in central Yangon, Myanmar, running past key colonial-era landmarks and civic buildings.
  • E. Pahonyothin Road
    Pahonyothin Road is one of Thailand’s major highways, running from Bangkok through several northern provinces to the border town of Mae Sai.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd466ac0f08190b99dd4cdcef339c6 completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 10:12 p.m.