Triple

T7794191
Position Surface form Disambiguated ID Type / Status
Subject Chiengmai E180256 entity
Predicate isSpellingVariantOf P457 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: [Chiengmai, isSpellingVariantOf, Chiang Mai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiang Mai
Context triple: [Chiengmai, isSpellingVariantOf, 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. Chiang Rai
    Chiang Rai is a culturally rich city in far northern Thailand, known for its temples, hill-tribe communities, and role as a gateway to the Golden Triangle region.
  • C. Lanna
    Lanna was a former kingdom and cultural region in what is now northern Thailand, known for its distinct language, art, and Buddhist traditions.
  • D. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae939c7388190b36d3e746be27a4d completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd336af7c48190956add895fff9c21 completed April 1, 2026, 3:02 p.m.
Created at: March 30, 2026, 4:31 p.m.