Triple

T4822189
Position Surface form Disambiguated ID Type / Status
Subject Kōfuku-ji E107735 entity
Predicate BuddhistSchool P12141 FINISHED
Object Hossō
Hossō is a major school of Japanese Buddhism, derived from the Yogācāra tradition, that emphasizes the doctrine of “consciousness-only” (vijñaptimātra).
 E475947 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: Hossō | Statement: [Kōfuku-ji, BuddhistSchool, Hossō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hossō
Context triple: [Kōfuku-ji, BuddhistSchool, Hossō]
  • A. To-ji
    To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
  • B. Dogenzaka
    Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
  • C. Kokubunji
    Kokubunji is a city in western Tokyo, Japan, known as a residential and educational hub within the Tama area.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Sawara-ku
    Sawara-ku is one of the wards of Fukuoka City in Japan, known for its mix of residential areas, universities, and coastal attractions along the Sea of Japan.
  • 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: Hossō
Triple: [Kōfuku-ji, BuddhistSchool, Hossō]
Generated description
Hossō is a major school of Japanese Buddhism, derived from the Yogācāra tradition, that emphasizes the doctrine of “consciousness-only” (vijñaptimātra).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hossō
Target entity description: Hossō is a major school of Japanese Buddhism, derived from the Yogācāra tradition, that emphasizes the doctrine of “consciousness-only” (vijñaptimātra).
  • A. To-ji
    To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
  • B. Dogenzaka
    Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
  • C. Kokubunji
    Kokubunji is a city in western Tokyo, Japan, known as a residential and educational hub within the Tama area.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Sawara-ku
    Sawara-ku is one of the wards of Fukuoka City in Japan, known for its mix of residential areas, universities, and coastal attractions along the Sea of Japan.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caa95ec8190bea525dbf3a00477 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ce5808819093004d4ed42ed211 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be68b9300c8190ba829be08e520047 completed March 21, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69be6961d8688190a041e476e082ac36 completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:24 p.m.