Triple

T2786486
Position Surface form Disambiguated ID Type / Status
Subject Wat Arun E61821 entity
Predicate near P350 FINISHED
Object Wat Pho E62283 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: Wat Pho | Statement: [Wat Arun, near, Wat Pho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wat Pho
Context triple: [Wat Arun, near, Wat Pho]
  • A. Wat Pho chosen
    Wat Pho is a famous Buddhist temple complex in Bangkok, Thailand, renowned for its giant Reclining Buddha statue and as a historic center of traditional Thai massage.
  • B. Wat Chedi Luang
    Wat Chedi Luang is a historic Buddhist temple in Chiang Mai, Thailand, known for its massive ruined chedi and former role as the home of the Emerald Buddha.
  • C. Temple of the Emerald Buddha
    The Temple of the Emerald Buddha is Thailand’s most sacred Buddhist temple, renowned for housing the revered Emerald Buddha statue within Bangkok’s historic royal complex.
  • D. Wat Phra Singh
    Wat Phra Singh is a major 14th-century Buddhist temple in Chiang Mai, Thailand, renowned for its classic Lanna architecture and revered Buddha images.
  • E. Wat Si Saket
    Wat Si Saket is a historic Buddhist temple in Vientiane, Laos, renowned for its cloister walls filled with thousands of Buddha images and its well-preserved traditional architecture.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb0d3488190a3f2bf47ebb35802 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a126f881909c378eca59b570a0 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:57 p.m.