Triple

T22440405
Position Surface form Disambiguated ID Type / Status
Subject 伏見櫓 E554738 entity
Predicate 用途 P79 FINISHED
Object 物見櫓
物見櫓は、城や砦などに設けられた周囲の監視や敵の接近を見張るための高所の見張り台である。
E1537023 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: 物見櫓 | Statement: [伏見櫓, 用途, 物見櫓]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 物見櫓
Context triple: [伏見櫓, 用途, 物見櫓]
  • A. 伏見櫓
    伏見櫓は、江戸城跡である東京の皇居内に現存する歴史的な三重櫓で、重要文化財にも指定されている城郭建築物である。
  • B. 宇治橋
    宇治橋 is a historic bridge in Uji, Kyoto Prefecture, renowned as one of Japan’s oldest bridges and a prominent landmark appearing in classical literature and scenic views over the Uji River.
  • C. 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。
  • D. Kankai-mon
    Kankai-mon is a historic gate of Shuri Castle in Okinawa, Japan, known for its cultural and architectural significance as part of the former Ryukyu Kingdom’s royal complex.
  • E. Hashizume-mon Gate
    Hashizume-mon Gate is a reconstructed historic gate of Kanazawa Castle in Ishikawa Prefecture, Japan, notable for its traditional wooden architecture and role as a key defensive entrance.
  • 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: 物見櫓
Triple: [伏見櫓, 用途, 物見櫓]
Generated description
物見櫓は、城や砦などに設けられた周囲の監視や敵の接近を見張るための高所の見張り台である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 物見櫓
Target entity description: 物見櫓は、城や砦などに設けられた周囲の監視や敵の接近を見張るための高所の見張り台である。
  • A. 伏見櫓
    伏見櫓は、江戸城跡である東京の皇居内に現存する歴史的な三重櫓で、重要文化財にも指定されている城郭建築物である。
  • B. 宇治橋
    宇治橋 is a historic bridge in Uji, Kyoto Prefecture, renowned as one of Japan’s oldest bridges and a prominent landmark appearing in classical literature and scenic views over the Uji River.
  • C. 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。
  • D. Kankai-mon
    Kankai-mon is a historic gate of Shuri Castle in Okinawa, Japan, known for its cultural and architectural significance as part of the former Ryukyu Kingdom’s royal complex.
  • E. Hashizume-mon Gate
    Hashizume-mon Gate is a reconstructed historic gate of Kanazawa Castle in Ishikawa Prefecture, Japan, notable for its traditional wooden architecture and role as a key defensive entrance.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae1f82881908a611f134eb03f3d completed April 29, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c7001348190a6959ad5358f2fa4 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d10a50881909fb586a3c529623d completed May 18, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0db192088190bb1a44808b7ccc85 completed May 18, 2026, 1:01 p.m.
Created at: April 16, 2026, 8:47 p.m.