Triple

T21262049
Position Surface form Disambiguated ID Type / Status
Subject Huairou District E524027 entity
Predicate contains P35 FINISHED
Object Hongluo Temple NE NERFINISHED

How this triple was built (3 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: Hongluo Temple | Statement: [Huairou District, contains, Hongluo Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hongluo Temple
Context triple: [Huairou District, contains, Hongluo Temple]
  • A. Tianning Temple
    Tianning Temple is a historic and renowned Buddhist temple complex in Changzhou, China, famous for its towering pagoda and significant religious and cultural heritage.
  • B. Lingyun Temple
    Lingyun Temple is a historic Buddhist temple situated near the Leshan Giant Buddha within China’s Mount Emei Scenic Area, known for its religious significance and scenic riverfront setting.
  • C. Xiantong Temple
    Xiantong Temple is one of the oldest and most important Buddhist monasteries on Mount Wutai in China, renowned for its extensive temple complex and long religious history.
  • D. Huazang Temple
    Huazang Temple is a Buddhist temple located on Mount Emei in China, a sacred mountain renowned as one of the Four Sacred Buddhist Mountains.
  • E. Huacheng Temple
    Huacheng Temple is a prominent Buddhist temple on Mount Jiuhua in China, known as one of the mountain’s oldest and most important monastic complexes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hongluo Temple
Target entity description: Hongluo Temple is a historic Buddhist temple and scenic mountain complex on the outskirts of Beijing, known for its ancient pines, serene lakeside setting, and significant religious heritage.
  • A. Tianning Temple
    Tianning Temple is a historic and renowned Buddhist temple complex in Changzhou, China, famous for its towering pagoda and significant religious and cultural heritage.
  • B. Lingyun Temple
    Lingyun Temple is a historic Buddhist temple situated near the Leshan Giant Buddha within China’s Mount Emei Scenic Area, known for its religious significance and scenic riverfront setting.
  • C. Xiantong Temple
    Xiantong Temple is one of the oldest and most important Buddhist monasteries on Mount Wutai in China, renowned for its extensive temple complex and long religious history.
  • D. Huazang Temple
    Huazang Temple is a Buddhist temple located on Mount Emei in China, a sacred mountain renowned as one of the Four Sacred Buddhist Mountains.
  • E. Huacheng Temple
    Huacheng Temple is a prominent Buddhist temple on Mount Jiuhua in China, known as one of the mountain’s oldest and most important monastic complexes.
  • F. None of above. chosen

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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e899e081909d3c98fb12a8b476 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.