Triple

T788270
Position Surface form Disambiguated ID Type / Status
Subject Mekong River E16852 entity
Predicate majorCityOnRiver P316 FINISHED
Object Vientiane E49753 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: Vientiane | Statement: [Mekong River, majorCityOnRiver, Vientiane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vientiane
Context triple: [Mekong River, majorCityOnRiver, Vientiane]
  • A. Vientiane chosen
    Vientiane is the capital and largest city of Laos, situated along the Mekong River near the border with Thailand.
  • B. Luang Prabang
    Luang Prabang is a historic city in northern Laos renowned for its well-preserved Buddhist temples, traditional architecture, and UNESCO World Heritage status.
  • C. Phnom Penh
    Phnom Penh is the capital and largest city of Cambodia, known for its location at the confluence of the Mekong and Tonlé Sap rivers and its blend of French colonial and Khmer architecture.
  • D. Hanoi
    Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
  • E. Bangkok
    Bangkok is the vibrant capital and largest city of Thailand, known for its bustling street life, ornate temples, and role as a major economic and cultural hub in Southeast Asia.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:38 p.m.