Triple

T13047281
Position Surface form Disambiguated ID Type / Status
Subject Isan E327356 entity
Predicate hasMajorCity P316 FINISHED
Object Sakon Nakhon E1083395 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: Sakon Nakhon | Statement: [Isan, hasMajorCity, Sakon Nakhon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakon Nakhon
Context triple: [Isan, hasMajorCity, Sakon Nakhon]
  • A. Sakon Nakhon province chosen
    Sakon Nakhon province is a largely rural region in northeastern Thailand known for its lakes, wetlands, and strong Buddhist and local cultural traditions.
  • B. Nakhon Sawan
    Nakhon Sawan is a major city in central Thailand known as a key transportation hub and gateway between the country’s northern and central regions.
  • C. Nakhon Sawan Province
    Nakhon Sawan Province is a central Thai province known as a key regional hub where major rivers converge and agriculture and trade are prominent.
  • D. Ratchaburi
    Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
  • E. Nakhon Nayok Province
    Nakhon Nayok Province is a small central Thai province known for its natural attractions, including waterfalls, mountains, and parts of Khao Yai National Park.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9805125e481908ed56f708de98a9e completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda8fd6f5081908de9a9e3df28a8ea completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 8:57 p.m.