Triple

T8184252
Position Surface form Disambiguated ID Type / Status
Subject Chiang Mai Province E191142 entity
Predicate contains P35 FINISHED
Object Chiang Mai city 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 city | Statement: [Chiang Mai Province, contains, Chiang Mai city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiang Mai city
Context triple: [Chiang Mai Province, contains, Chiang Mai city]
  • 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. Chiang Mai Province
    Chiang Mai Province is a mountainous region in northern Thailand known for its historic temples, rich Lanna culture, and popular tourism centered around the city of Chiang Mai.
  • D. Lanna
    Lanna was a former kingdom and cultural region in what is now northern Thailand, known for its distinct language, art, and Buddhist traditions.
  • E. 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.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c507f248190b599b4a629b7518a completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb1519048190bf3060a8c649cb9b completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 5:41 p.m.