Triple

T7794178
Position Surface form Disambiguated ID Type / Status
Subject King Mangrai E180255 entity
Predicate founded P104 FINISHED
Object Chiang Rai E669216 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 Rai | Statement: [King Mangrai, founded, Chiang Rai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiang Rai
Context triple: [King Mangrai, founded, Chiang Rai]
  • A. Chiang Rai chosen
    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.
  • B. 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.
  • 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. Khao Lak
    Khao Lak is a coastal resort area in southern Thailand known for its tranquil beaches, proximity to national parks, and devastation during the 2004 Indian Ocean tsunami.
  • E. Mae Hong Son Province
    Mae Hong Son Province is a mountainous, remote region in northern Thailand known for its significant Karen population, misty landscapes, and forested border with Myanmar.
  • 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_69ccec40f5e88190bc0fbb4ad99d09c6 completed April 1, 2026, 9:58 a.m.
Created at: March 30, 2026, 4:31 p.m.