Triple

T19049106
Position Surface form Disambiguated ID Type / Status
Subject 杉本博司 E466211 entity
Predicate residence P75 FINISHED
Object 神奈川県葉山町
神奈川県葉山町は、神奈川県三浦郡に位置し、相模湾に面した自然豊かな海辺の町で、別荘地や静かな住宅地として知られている。
E1356480 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: 神奈川県葉山町 | Statement: [杉本博司, residence, 神奈川県葉山町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 神奈川県葉山町
Context triple: [杉本博司, residence, 神奈川県葉山町]
  • A. Yugawara, Kanagawa Prefecture
    Yugawara, in Kanagawa Prefecture, is a Japanese hot spring resort town known for its scenic coastal setting and long-standing popularity as a retreat for writers and artists.
  • B. Ninomiya, Kanagawa
    Ninomiya, Kanagawa is a coastal town in Kanagawa Prefecture, Japan, known for its residential character and proximity to both the Pacific Ocean and the Tokyo metropolitan area.
  • C. Zama, Kanagawa Prefecture
    Zama, Kanagawa Prefecture is a city in Japan known for hosting major military installations, including a key Japan Ground Self-Defense Force base and U.S. Army facilities.
  • D. Ayase, Kanagawa
    Ayase, Kanagawa is a suburban city in Kanagawa Prefecture, Japan, known for its proximity to major urban centers and the nearby Atsugi Air Base.
  • E. Zushi, Kanagawa Prefecture
    Zushi, Kanagawa Prefecture is a small coastal city in Japan known for its sandy beaches, residential character, and proximity to both Kamakura and central Tokyo.
  • 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: 神奈川県葉山町
Triple: [杉本博司, residence, 神奈川県葉山町]
Generated description
神奈川県葉山町は、神奈川県三浦郡に位置し、相模湾に面した自然豊かな海辺の町で、別荘地や静かな住宅地として知られている。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 神奈川県葉山町
Target entity description: 神奈川県葉山町は、神奈川県三浦郡に位置し、相模湾に面した自然豊かな海辺の町で、別荘地や静かな住宅地として知られている。
  • A. Yugawara, Kanagawa Prefecture
    Yugawara, in Kanagawa Prefecture, is a Japanese hot spring resort town known for its scenic coastal setting and long-standing popularity as a retreat for writers and artists.
  • B. Ninomiya, Kanagawa
    Ninomiya, Kanagawa is a coastal town in Kanagawa Prefecture, Japan, known for its residential character and proximity to both the Pacific Ocean and the Tokyo metropolitan area.
  • C. Zama, Kanagawa Prefecture
    Zama, Kanagawa Prefecture is a city in Japan known for hosting major military installations, including a key Japan Ground Self-Defense Force base and U.S. Army facilities.
  • D. Ayase, Kanagawa
    Ayase, Kanagawa is a suburban city in Kanagawa Prefecture, Japan, known for its proximity to major urban centers and the nearby Atsugi Air Base.
  • E. Zushi, Kanagawa Prefecture
    Zushi, Kanagawa Prefecture is a small coastal city in Japan known for its sandy beaches, residential character, and proximity to both Kamakura and central Tokyo.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8062ea481908cf3fcb790a74956 completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c551e26c8190928642f451cb85f0 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7645d6c8190bd4d16b234c3384b completed May 14, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a05c7c6e4148190bbdafd47ce2bdef4 completed May 14, 2026, 1:01 p.m.
Created at: April 10, 2026, 12:03 p.m.