Triple

T12638306
Position Surface form Disambiguated ID Type / Status
Subject Chachoengsao E301822 entity
Predicate bordersProvince P224 FINISHED
Object Prachinburi E796808 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: Prachinburi | Statement: [Chachoengsao, bordersProvince, Prachinburi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prachinburi
Context triple: [Chachoengsao, bordersProvince, Prachinburi]
  • A. Prachinburi Province chosen
    Prachinburi Province is an eastern Thai province known for its fertile river plains, historical sites, and proximity to Khao Yai and other national parks.
  • B. Phetchaburi
    Phetchaburi is a historic city in western Thailand known for its ancient temples, royal palaces, and proximity to coastal and mountainous attractions.
  • C. Ratchaburi
    Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
  • D. Surat Thani
    Surat Thani is a major city in southern Thailand that serves as a key transport and commercial hub and gateway to popular Gulf of Thailand islands like Ko Samui.
  • E. Chachoengsao
    Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af45ea888190a4b2d0c1730a06ef completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:16 p.m.