Triple

T13207192
Position Surface form Disambiguated ID Type / Status
Subject Nan River E314394 entity
Predicate sourceLocatedIn P409 FINISHED
Object Nan Province E685299 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: Nan Province | Statement: [Nan River, sourceLocatedIn, Nan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan Province
Context triple: [Nan River, sourceLocatedIn, Nan Province]
  • A. Nan province chosen
    Nan province is a mountainous, sparsely populated region of northern Thailand known for its remote river valleys, traditional Tai Lue culture, and forested national parks along the Lao border.
  • B. 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.
  • 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. Satun province
    Satun province is a coastal province in southern Thailand known for its tranquil islands, marine national parks, and cultural ties to Malaysia.
  • E. Chonburi Province
    Chonburi Province is a coastal region in eastern Thailand known for its major tourist destinations, industrial zones, and proximity to Bangkok.
  • 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_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 9, 2026, 9:17 p.m.