Triple

T15476382
Position Surface form Disambiguated ID Type / Status
Subject 龍山寺 E376790 entity
Predicate 中文名 P4878 FINISHED
Object 艋舺龍山寺 E376790 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: 艋舺龍山寺 | Statement: [龍山寺, 中文名, 艋舺龍山寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 艋舺龍山寺
Context triple: [龍山寺, 中文名, 艋舺龍山寺]
  • A. 龍山寺 chosen
    龍山寺 is a historic and culturally significant Buddhist temple in Taipei, Taiwan, renowned for its intricate architecture and role as a major religious and tourist landmark.
  • B. 龍安寺
    龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
  • C. 金剛頂寺
    金剛頂寺は、高知県室戸市に位置し、真言宗の寺院として四国八十八箇所霊場の第26番札所となっている古刹です。
  • D. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • E. Grand Mazu Temple (Tainan)
    Grand Mazu Temple (Tainan) is a historic Taiwanese temple dedicated to the sea goddess Mazu, renowned for its traditional architecture and cultural significance in Tainan.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.