Triple

T12592535
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate contains P35 FINISHED
Object 豪徳寺
豪徳寺は、東京都世田谷区にある招き猫発祥の地として知られる曹洞宗の寺院です。
 E993874 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: 豪徳寺 | Statement: [世田谷区, contains, 豪徳寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 豪徳寺
Context triple: [世田谷区, contains, 豪徳寺]
  • A. 元興寺
    元興寺（Gangō-ji）は、奈良市にある日本最古級の仏教寺院の一つで、法相宗の古刹として世界遺産「古都奈良の文化財」にも含まれる歴史的寺院である。
  • B. 永観堂
    永観堂は、京都市左京区にある紅葉の名所として知られる浄土宗西山禅林寺派の古刹・禅林寺の通称です。
  • C. Hōrai-ji Temple
    Hōrai-ji Temple is a historic Buddhist temple and pilgrimage site in Japan, renowned for its mountainside setting, long stone stairway, and scenic views in Aichi Prefecture.
  • D. Kōshō-ji Temple
    Kōshō-ji Temple is a historic Japanese Buddhist temple notable for incorporating architectural materials from the former Fushimi Castle.
  • E. Myōōin Temple
    Myōōin Temple is a historic Buddhist temple in Fukuyama, Hiroshima Prefecture, known for its traditional architecture and cultural significance.
  • 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: 豪徳寺
Triple: [世田谷区, contains, 豪徳寺]
Generated description
豪徳寺は、東京都世田谷区にある招き猫発祥の地として知られる曹洞宗の寺院です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 豪徳寺
Target entity description: 豪徳寺は、東京都世田谷区にある招き猫発祥の地として知られる曹洞宗の寺院です。
  • A. 元興寺
    元興寺（Gangō-ji）は、奈良市にある日本最古級の仏教寺院の一つで、法相宗の古刹として世界遺産「古都奈良の文化財」にも含まれる歴史的寺院である。
  • B. 永観堂
    永観堂は、京都市左京区にある紅葉の名所として知られる浄土宗西山禅林寺派の古刹・禅林寺の通称です。
  • C. Hōrai-ji Temple
    Hōrai-ji Temple is a historic Buddhist temple and pilgrimage site in Japan, renowned for its mountainside setting, long stone stairway, and scenic views in Aichi Prefecture.
  • D. Kōshō-ji Temple
    Kōshō-ji Temple is a historic Japanese Buddhist temple notable for incorporating architectural materials from the former Fushimi Castle.
  • E. Myōōin Temple
    Myōōin Temple is a historic Buddhist temple in Fukuyama, Hiroshima Prefecture, known for its traditional architecture and cultural significance.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.