Triple

T7629650
Position Surface form Disambiguated ID Type / Status
Subject Uisang E172726 entity
Predicate placeOfActivity P1527 FINISHED
Object Buseoksa E685101 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: Buseoksa | Statement: [Uisang, placeOfActivity, Buseoksa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buseoksa
Context triple: [Uisang, placeOfActivity, Buseoksa]
  • A. Buseoksa chosen
    Buseoksa is a historic Korean Buddhist temple in Yeongju, renowned for its association with the monk Uisang and its well-preserved architecture and cultural heritage.
  • B. Songgwangsa
    Songgwangsa is one of Korea’s most important Zen Buddhist monasteries, renowned as a major center for monastic training and a key temple of the Jogye Order.
  • C. Bongeunsa Temple
    Bongeunsa Temple is a historic Buddhist temple in Seoul, South Korea, renowned as a tranquil spiritual retreat amid the modern skyscrapers of the Gangnam area.
  • D. Beomeosa Temple
    Beomeosa Temple is a historic Buddhist temple on the slopes of Geumjeongsan in Busan, South Korea, renowned for its scenic mountain setting, ancient halls, and cultural heritage.
  • E. Donghaksa
    Donghaksa is a historic Buddhist temple in South Korea, noted for its scenic mountain setting and traditional monastic training.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa84adb08190885138fc9b908ebf completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7b3b7348190b3387dfee04fa51d completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:56 p.m.