Triple

T8184256
Position Surface form Disambiguated ID Type / Status
Subject Chiang Mai Province E191142 entity
Predicate contains P35 FINISHED
Object Pai District E673916 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: Pai District | Statement: [Chiang Mai Province, contains, Pai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pai District
Context triple: [Chiang Mai Province, contains, Pai District]
  • A. Pai District chosen
    Pai District is a mountainous rural district in northern Thailand known for its scenic landscapes, laid-back backpacker town of Pai, and popularity as an eco-tourism and cultural tourism destination.
  • B. Nangang District
    Nangang District is a central urban district of Harbin, China, known as a major administrative, commercial, and educational hub of the city.
  • C. Nangang District
    Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
  • D. Hai District
    Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
  • E. Kaifu District
    Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • 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_69ccbf95fd5c81908391dc160723b9e9 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:41 p.m.