Triple

T13207182
Position Surface form Disambiguated ID Type / Status
Subject Nan River E314394 entity
Predicate flowsThrough P225 FINISHED
Object Uttaradit Province E669220 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: Uttaradit Province | Statement: [Nan River, flowsThrough, Uttaradit Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uttaradit Province
Context triple: [Nan River, flowsThrough, Uttaradit Province]
  • A. Uttaradit province chosen
    Uttaradit province is a largely rural region in northern Thailand known for its mountainous landscapes, teak forests, and longan fruit cultivation.
  • B. Satun province
    Satun province is a coastal province in southern Thailand known for its tranquil islands, marine national parks, and cultural ties to Malaysia.
  • C. Trat Province
    Trat Province is Thailand’s easternmost coastal province, known for its border with Cambodia and its popular island destinations such as Ko Chang.
  • D. Bolikhamsai Province
    Bolikhamsai Province is a central region of Laos known for its forested mountains, river valleys, and role as a key transit and hydropower area between the country’s north and south.
  • E. Ranong province
    Ranong province is a coastal province in southern Thailand known for its mountainous rainforest terrain, high rainfall, and location along the Andaman Sea near the Myanmar 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1c9f348190aae39073bdcee84d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:17 p.m.