Triple

T15399340
Position Surface form Disambiguated ID Type / Status
Subject 竹下登 E368268 entity
Predicate 出身地 P1 FINISHED
Object 島根県
島根県は本州西部の日本海側に位置し、出雲大社などの古社や神話の舞台として知られる人口の少ない県です。
E1154926 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: 島根県 | Statement: [竹下登, 出身地, 島根県]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 島根県
Context triple: [竹下登, 出身地, 島根県]
  • A. 佐賀県
    佐賀県は、日本の九州地方に位置し、有明海や佐賀平野を擁する農業と陶磁器産業で知られる県です。
  • B. Kagoshima Prefecture
    Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
  • C. Yamaguchi Prefecture
    Yamaguchi Prefecture is a western Japanese prefecture on the island of Honshu, known for its strategic location facing both the Seto Inland Sea and the Sea of Japan, as well as its historical role in producing influential political leaders.
  • D. Harima Province
    Harima Province was an old administrative region of Japan located in what is now southwestern Hyōgo Prefecture, along the Seto Inland Sea.
  • E. Tottori Prefecture
    Tottori Prefecture is a rural coastal region in western Japan known for its vast sand dunes, scenic Sea of Japan coastline, and low population.
  • 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: 島根県
Triple: [竹下登, 出身地, 島根県]
Generated description
島根県は本州西部の日本海側に位置し、出雲大社などの古社や神話の舞台として知られる人口の少ない県です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 島根県
Target entity description: 島根県は本州西部の日本海側に位置し、出雲大社などの古社や神話の舞台として知られる人口の少ない県です。
  • A. 佐賀県
    佐賀県は、日本の九州地方に位置し、有明海や佐賀平野を擁する農業と陶磁器産業で知られる県です。
  • B. Kagoshima Prefecture
    Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
  • C. Yamaguchi Prefecture
    Yamaguchi Prefecture is a western Japanese prefecture on the island of Honshu, known for its strategic location facing both the Seto Inland Sea and the Sea of Japan, as well as its historical role in producing influential political leaders.
  • D. Harima Province
    Harima Province was an old administrative region of Japan located in what is now southwestern Hyōgo Prefecture, along the Seto Inland Sea.
  • E. Tottori Prefecture
    Tottori Prefecture is a rural coastal region in western Japan known for its vast sand dunes, scenic Sea of Japan coastline, and low population.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff144af00481909191a2d33874c195 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff15ae7c9c81909fd0894e48e5b5b1 completed May 9, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:19 a.m.