Triple

T18448669
Position Surface form Disambiguated ID Type / Status
Subject Nam Ngum 1 Dam E450720 entity
Predicate nearCity P350 FINISHED
Object Vientiane NE NERFINISHED

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: [Nam Ngum 1 Dam, nearCity, Vientiane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vientiane
Context triple: [Nam Ngum 1 Dam, nearCity, Vientiane]
  • A. Vientiane chosen
    Vientiane is the capital and largest city of Laos, situated along the Mekong River near the border with Thailand.
  • B. Phonsavan
    Phonsavan is a town in central Laos that serves as the main gateway and service hub for visitors to the historic and mysterious Plain of Jars archaeological site.
  • C. 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.
  • D. Buôn Ma Thuột
    Buôn Ma Thuột is a major city in Vietnam renowned as the capital of the country’s coffee industry and the largest urban center in the Central Highlands region.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52646949c81909664e864224675a6 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.