Triple

T13207206
Position Surface form Disambiguated ID Type / Status
Subject Nan River E314394 entity
Predicate flowsThroughCity P10456 FINISHED
Object Phitsanulok E674325 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: Phitsanulok | Statement: [Nan River, flowsThroughCity, Phitsanulok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phitsanulok
Context triple: [Nan River, flowsThroughCity, Phitsanulok]
  • A. Phitsanulok chosen
    Phitsanulok is a historic provincial city in northern Thailand known as a regional transport hub and home to the revered Wat Phra Si Rattana Mahathat temple.
  • B. Lamphun
    Lamphun is a historic provincial capital in northern Thailand, known for its ancient Hariphunchai kingdom heritage and well-preserved temples.
  • C. Phatthalung
    Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
  • D. Udon Thani
    Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
  • E. Phetchaburi
    Phetchaburi is a historic city in western Thailand known for its ancient temples, royal palaces, and proximity to coastal and mountainous attractions.
  • 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_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 9:17 p.m.