Triple

T28813513
Position Surface form Disambiguated ID Type / Status
Subject 濃尾平野 E727577 entity
Predicate 関連年 P91150 FINISHED
Object 1891年濃尾地震
1891年濃尾地震は、日本の岐阜県・愛知県を中心に甚大な被害をもたらし、濃尾平野一帯に大規模な地殻変動を引き起こした日本史上最大級の内陸直下型地震である。
E1833514 NE FINISHED

How this triple was built (3 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: 1891年濃尾地震 | Statement: [濃尾平野, 関連年, 1891年濃尾地震]
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: 1891年濃尾地震
Triple: [濃尾平野, 関連年, 1891年濃尾地震]
Generated description
1891年濃尾地震は、日本の岐阜県・愛知県を中心に甚大な被害をもたらし、濃尾平野一帯に大規模な地殻変動を引き起こした日本史上最大級の内陸直下型地震である。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 関連年
Context triple: [濃尾平野, 関連年, 1891年濃尾地震]
  • A. relatedYear chosen
    Indicates a connection between an entity and a specific year that is relevant to its occurrence, validity, or significance.
  • B. yearAssociated
    Indicates a specific year that is relevant or linked to an entity, event, or relationship (such as the year it occurred, was created, or is otherwise associated).
  • C. yearOfReference
    Indicates the specific year to which a statement, measurement, or data point is intended to apply or be interpreted with reference.
  • D. associatedClassYear
    Indicates a relationship linking an entity to the specific academic class year with which it is connected or identified.
  • E. 釈放年
    Indicates the year in which an entity is released or set free.
  • F. None of above.

Provenance (6 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_69f0319c38948190bca746ad60fd25ba completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658f163a88190b1dd222eaa0f93ea completed May 2, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a28238988190815a8a5c3fc15fea completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a650b8408190abe70dc1108b8368 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24aa401b2c8190bf774922baa12667 completed June 6, 2026, 11:16 p.m.
PD Predicate disambiguation batch_69f65762b5e481908a30ca963dcba4be completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:31 a.m.