Triple

T9438971
Position Surface form Disambiguated ID Type / Status
Subject Kim Lien Pagoda E227592 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: [Kim Lien Pagoda, dedicatedTo, Buddha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddha
Context triple: [Kim Lien Pagoda, dedicatedTo, Buddha]
  • A. Buddha
    Buddha is a contestant on the reality TV dating show "I Love New York 2," known for competing for the affection of Tiffany "New York" Pollard.
  • B. 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.
  • C. Buddah
    Buddah is the commonly used short name for Buddah Records, an American record label known for its releases in pop, rock, and bubblegum music during the 1960s and 1970s.
  • D. Budha
    Budha is the Hindu deity associated with the planet Mercury, revered as the god of intellect, communication, and wisdom.
  • E. 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.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee1c8c48190a2ae8673eee07e9a completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105909248190b3e02a1aa5f06b11 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.