Triple

T13139565
Position Surface form Disambiguated ID Type / Status
Subject 植木枝盛 E312175 entity
Predicate 出生地 P1 FINISHED
Object 土佐国
土佐国 was a former province of Japan located in present-day Kōchi Prefecture on the island of Shikoku.
E1024767 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: 土佐国 | Statement: [植木枝盛, 出生地, 土佐国]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 土佐国
Context triple: [植木枝盛, 出生地, 土佐国]
  • A. 濃尾平野
    濃尾平野は、愛知・岐阜・三重にまたがる木曽三川流域に広がる日本有数の大平野で、名古屋市を中心とする中京工業地帯や濃尾大地震などで知られる地域である。
  • B. 日本・大分県
    日本・大分県は、九州地方の東部に位置し、温泉地として名高い別府や由布院などを有する自然豊かな県です。
  • C. Miyazaki Prefecture
    Miyazaki Prefecture is a largely rural coastal prefecture on Japan’s southeastern Kyushu island, known for its subtropical climate, scenic beaches, and agricultural production.
  • D. Shinano Province
    Shinano Province was an old administrative region of Japan, roughly corresponding to modern Nagano Prefecture, known for its mountainous terrain and historical significance.
  • E. Yamaguchi Prefecture, Japan
    Yamaguchi Prefecture, Japan is a southwestern Japanese prefecture on the island of Honshu known for its strategic coastal location facing both the Seto Inland Sea and the Sea of Japan, historic samurai towns, and role as the birthplace of several prominent political and military figures.
  • 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: 土佐国
Triple: [植木枝盛, 出生地, 土佐国]
Generated description
土佐国 was a former province of Japan located in present-day Kōchi Prefecture on the island of Shikoku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 土佐国
Target entity description: 土佐国 was a former province of Japan located in present-day Kōchi Prefecture on the island of Shikoku.
  • A. 濃尾平野
    濃尾平野は、愛知・岐阜・三重にまたがる木曽三川流域に広がる日本有数の大平野で、名古屋市を中心とする中京工業地帯や濃尾大地震などで知られる地域である。
  • B. 日本・大分県
    日本・大分県は、九州地方の東部に位置し、温泉地として名高い別府や由布院などを有する自然豊かな県です。
  • C. Miyazaki Prefecture
    Miyazaki Prefecture is a largely rural coastal prefecture on Japan’s southeastern Kyushu island, known for its subtropical climate, scenic beaches, and agricultural production.
  • D. Shinano Province
    Shinano Province was an old administrative region of Japan, roughly corresponding to modern Nagano Prefecture, known for its mountainous terrain and historical significance.
  • E. Yamaguchi Prefecture, Japan
    Yamaguchi Prefecture, Japan is a southwestern Japanese prefecture on the island of Honshu known for its strategic coastal location facing both the Seto Inland Sea and the Sea of Japan, historic samurai towns, and role as the birthplace of several prominent political and military figures.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f01e9c488190ad52280903c074da completed May 3, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69f6f0e5f94c81908f4707913dc5dc92 completed May 3, 2026, 6:53 a.m.
Created at: April 9, 2026, 9:09 p.m.