Triple

T21271676
Position Surface form Disambiguated ID Type / Status
Subject Ishikiri-Tsurugiya Shrine E524274 entity
Predicate hasJapaneseName P9882 FINISHED
Object 石切劔箭神社
石切劔箭神社 is a Shinto shrine in Higashi-Osaka, Japan, renowned for its stone-cutting and healing deities and its popular divination rituals.
E1474826 NE FINISHED

How this triple was built (4 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: 石切劔箭神社 | Statement: [Ishikiri-Tsurugiya Shrine, hasJapaneseName, 石切劔箭神社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 石切劔箭神社
Context triple: [Ishikiri-Tsurugiya Shrine, hasJapaneseName, 石切劔箭神社]
  • A. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • B. 白山神社
    白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
  • C. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • D. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • E. 愛宕神社
    愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 石切劔箭神社
Triple: [Ishikiri-Tsurugiya Shrine, hasJapaneseName, 石切劔箭神社]
Generated description
石切劔箭神社 is a Shinto shrine in Higashi-Osaka, Japan, renowned for its stone-cutting and healing deities and its popular divination rituals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 石切劔箭神社
Target entity description: 石切劔箭神社 is a Shinto shrine in Higashi-Osaka, Japan, renowned for its stone-cutting and healing deities and its popular divination rituals.
  • A. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • B. 白山神社
    白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
  • C. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • D. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • E. 愛宕神社
    愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
  • F. None of above. chosen

Provenance (5 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736534c348190a8d29e8d724dd40a completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099006e7c081908aceb2a0574de81e completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990b9b7c8819094f7db294c2e573d completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991cdf6408190a590d8907f2fe880 completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 4:01 p.m.