Triple

T802264
Position Surface form Disambiguated ID Type / Status
Subject Cambodia E17153 entity
Predicate containsCity P294 FINISHED
Object Siem Reap E97474 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: Siem Reap | Statement: [Cambodia, containsCity, Siem Reap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siem Reap
Context triple: [Cambodia, containsCity, Siem Reap]
  • A. 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.
  • B. 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.
  • C. Chiang Mai
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • D. Mandalay
    Mandalay is a major cultural and economic center in central Myanmar, historically known as the last royal capital of the Burmese kingdom.
  • E. Angkor Archaeological Park chosen
    Angkor Archaeological Park is a vast UNESCO World Heritage site in northwestern Cambodia renowned for its monumental Khmer temple complexes, including Angkor Wat and Angkor Thom.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9e0f0081909d2a89387d6c08e1 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928af9d0819095b28e738a0f60dd completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.