Triple

T20584040
Position Surface form Disambiguated ID Type / Status
Subject Nigatsu-dō E505736 entity
Predicate nativeName P15 FINISHED
Object 二月堂
二月堂 is a historic Buddhist hall within Tōdai-ji Temple in Nara, Japan, renowned for its annual Shuni-e (Omizutori) repentance and fire ceremony.
E1438522 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: 二月堂 | Statement: [Nigatsu-dō, nativeName, 二月堂]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 二月堂
Context triple: [Nigatsu-dō, nativeName, 二月堂]
  • A. 二子玉川
    二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
  • B. 友三郎
    友三郎 is a Japanese masculine given name historically borne by notable figures such as statesmen and military officers.
  • C. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • D. 秀二
    秀二 is a masculine Japanese given name, typically read as "Shūji" or "Hideji," formed from kanji that often convey meanings related to excellence or talent.
  • E. 呑川
    呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
  • 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: 二月堂
Triple: [Nigatsu-dō, nativeName, 二月堂]
Generated description
二月堂 is a historic Buddhist hall within Tōdai-ji Temple in Nara, Japan, renowned for its annual Shuni-e (Omizutori) repentance and fire ceremony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 二月堂
Target entity description: 二月堂 is a historic Buddhist hall within Tōdai-ji Temple in Nara, Japan, renowned for its annual Shuni-e (Omizutori) repentance and fire ceremony.
  • A. 二子玉川
    二子玉川 is a riverside commercial and residential district in Tokyo known for its large shopping complexes, stylish cafes, and family-friendly urban development along the Tama River.
  • B. 友三郎
    友三郎 is a Japanese masculine given name historically borne by notable figures such as statesmen and military officers.
  • C. 玉川
    玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
  • D. 秀二
    秀二 is a masculine Japanese given name, typically read as "Shūji" or "Hideji," formed from kanji that often convey meanings related to excellence or talent.
  • E. 呑川
    呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a974ee4c819099310b46885a5597 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acecf4d8819093280bbcd43150d4 completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ad96b2a081908d32e335c5265eec completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08ae19eca08190ada48b48105be62d completed May 16, 2026, 5:49 p.m.
Created at: April 16, 2026, 11:40 a.m.