Triple

T17719277
Position Surface form Disambiguated ID Type / Status
Subject Fangshan District E442287 entity
Predicate hasReligiousSite P916 FINISHED
Object Yunju Temple 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: Yunju Temple | Statement: [Fangshan District, hasReligiousSite, Yunju Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunju Temple
Context triple: [Fangshan District, hasReligiousSite, Yunju Temple]
  • A. Yunju Temple chosen
    Yunju Temple is an ancient Buddhist temple complex in Beijing renowned for its extensive stone sutra inscriptions and significant cultural and religious heritage.
  • B. Hoonji Temple
    Hoonji Temple is a historic Buddhist temple in Morioka, Japan, best known for its collection of expressive wooden statues of the 500 Arhats.
  • C. Pyochungsa Temple
    Pyochungsa Temple is a historic Buddhist temple in Miryang, South Korea, renowned for its cultural heritage and scenic mountain setting.
  • D. Jeondeungsa Temple
    Jeondeungsa Temple is a historic Buddhist temple in South Korea renowned for its ancient architecture, cultural relics, and scenic forested setting.
  • E. Bomunsa Temple
    Bomunsa Temple is a historic Buddhist temple on South Korea’s Ganghwa Island, known for its cliffside location, scenic sea views, and significant religious heritage.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e474844ff48190b1cf181eb9c113d9 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:07 a.m.