Triple

T2832993
Position Surface form Disambiguated ID Type / Status
Subject Wat Pho E62283 entity
Predicate dedicatedTo P500 FINISHED
Object Buddha E57288 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: Buddha | Statement: [Wat Pho, dedicatedTo, Buddha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddha
Context triple: [Wat Pho, dedicatedTo, Buddha]
  • A. Buddha
    "Buddha" is a biographical and historical study of Siddhartha Gautama by religious historian Karen Armstrong, exploring the life, teachings, and enduring influence of the Buddha.
  • B. Shakyamuni Buddha chosen
    Shakyamuni Buddha is the historical founder of Buddhism, revered as an enlightened teacher who attained awakening and taught the path to liberation from suffering.
  • C. Gautama
    Gautama is an ancient Indian sage and philosopher traditionally credited with founding the Nyaya school of Hindu logic and epistemology.
  • D. Bồ Đề
    Bồ Đề is an urban ward of Long Biên District in Hanoi, Vietnam, known for its dense residential areas and proximity to central Hanoi across the Red River.
  • E. Bodhi
    Bodhi is the enlightened understanding or awakening in Buddhism, representing the profound realization of the true nature of reality.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec036dc8190bc2d974f6d82eda9 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0863e6c5c8190a15c0ade9f2df7b1 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 10:01 p.m.