Triple

T19595629
Position Surface form Disambiguated ID Type / Status
Subject Phra Ram E470340 entity
Predicate kingdom P567 FINISHED
Object Ayutthaya NE NERFINISHED

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: Ayutthaya | Statement: [Phra Ram, kingdom, Ayutthaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayutthaya
Context triple: [Phra Ram, kingdom, Ayutthaya]
  • A. Sukhothai
    Sukhothai is a historic city in northern Thailand renowned for its ancient temple ruins and status as the first capital of the Sukhothai Kingdom.
  • B. Ayutthaya, Thailand
    Ayutthaya, Thailand is a historic city north of Bangkok known for its ancient temple ruins and status as a former capital of the Kingdom of Siam.
  • C. Phra Nakhon
    Phra Nakhon is Bangkok’s historic central district, home to major cultural and political landmarks such as the Grand Palace and Wat Pho.
  • D. พระนครศรีอยุธยา
    พระนครศรีอยุธยา คือชื่อภาษาไทยของจังหวัดและอดีตราชธานีสำคัญทางประวัติศาสตร์ของไทยที่มีโบราณสถานขึ้นทะเบียนเป็นมรดกโลกโดยยูเนสโก
  • E. Ayutthaya Kingdom chosen
    The Ayutthaya Kingdom was a powerful Siamese state that flourished from the 14th to the 18th century in what is now Thailand, known for its extensive trade networks, rich cosmopolitan culture, and eventual destruction by Burma in 1767.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407a09608190aa1df92f8c21f9e7 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.