Triple

T1337187
Position Surface form Disambiguated ID Type / Status
Subject Gwangju E28778 entity
Predicate sisterCity P1072 FINISHED
Object Chiang Mai E33411 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: Chiang Mai | Statement: [Gwangju, sisterCity, Chiang Mai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiang Mai
Context triple: [Gwangju, sisterCity, Chiang Mai]
  • A. Chiang Mai chosen
    Chiang Mai is a historic city in northern Thailand known for its ancient temples, vibrant night markets, and surrounding mountainous landscapes.
  • B. 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.
  • C. Pattaya
    Pattaya is a major Thai coastal city known for its vibrant nightlife, beaches, and role as a leading international tourist resort.
  • D. Nakhon Si Thammarat
    Nakhon Si Thammarat is a historic coastal city in southern Thailand known for its ancient temples, particularly Wat Phra Mahathat, and its role as a regional cultural and economic center.
  • E. 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.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47654288190851579e84c36ceac completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:55 p.m.