Triple

T11857146
Position Surface form Disambiguated ID Type / Status
Subject 龍安寺 E282067 entity
Predicate locatedIn P40 FINISHED
Object 右京区
右京区は、京都市の西部に位置し、歴史的な寺院や伝統的な街並みが多く残る行政区です。
E951500 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: 右京区 | Statement: [龍安寺, locatedIn, 右京区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 右京区
Context triple: [龍安寺, locatedIn, 右京区]
  • A. 左京区
    左京区 is a ward in northeastern Kyoto City known for its historic temples, cultural institutions, and natural scenery including parts of the Higashiyama and Kitayama mountains.
  • B. 文京区
    文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
  • C. 白石区
    白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
  • D. 千代田区
    千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
  • E. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • 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: 右京区
Triple: [龍安寺, locatedIn, 右京区]
Generated description
右京区は、京都市の西部に位置し、歴史的な寺院や伝統的な街並みが多く残る行政区です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 右京区
Target entity description: 右京区は、京都市の西部に位置し、歴史的な寺院や伝統的な街並みが多く残る行政区です。
  • A. 左京区
    左京区 is a ward in northeastern Kyoto City known for its historic temples, cultural institutions, and natural scenery including parts of the Higashiyama and Kitayama mountains.
  • B. 文京区
    文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
  • C. 白石区
    白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
  • D. 千代田区
    千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
  • E. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281536c10819093dc1fd3203d41d8 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:43 p.m.