Triple

T22580804
Position Surface form Disambiguated ID Type / Status
Subject フランシスコ(麻生太郎の洗礼名) E544560 entity
Predicate relatedTo P37 FINISHED
Object 聖フランシスコ
聖フランシスコは、清貧と隣人愛を重んじた生涯で知られ、カトリック教会において最も敬愛される聖人の一人であるアッシジのフランシスコを指す。
E1546449 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: 聖フランシスコ | Statement: [フランシスコ(麻生太郎の洗礼名), relatedTo, 聖フランシスコ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 聖フランシスコ
Context triple: [フランシスコ(麻生太郎の洗礼名), relatedTo, 聖フランシスコ]
  • A. San Francisco
    San Francisco is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and proximity to the Bohol Sea.
  • B. San Francisco
    San Francisco is a coastal municipality in the Philippine province of Surigao del Norte, known for its island landscapes and fishing communities.
  • C. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • D. San Francisco
    San Francisco is a town located in the Atlántida Department on the northern Caribbean coast of Honduras.
  • E. San Francisco
    San Francisco is a municipality in the Philippine province of Quezon known for its rural communities and agricultural economy.
  • 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: 聖フランシスコ
Triple: [フランシスコ(麻生太郎の洗礼名), relatedTo, 聖フランシスコ]
Generated description
聖フランシスコは、清貧と隣人愛を重んじた生涯で知られ、カトリック教会において最も敬愛される聖人の一人であるアッシジのフランシスコを指す。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 聖フランシスコ
Target entity description: 聖フランシスコは、清貧と隣人愛を重んじた生涯で知られ、カトリック教会において最も敬愛される聖人の一人であるアッシジのフランシスコを指す。
  • A. San Francisco
    San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
  • B. San Francisco
    San Francisco is a town located in the Atlántida Department on the northern Caribbean coast of Honduras.
  • C. San Francisco
    San Francisco is a municipality in the Philippine province of Quezon known for its rural communities and agricultural economy.
  • D. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • E. San Francisco
    San Francisco is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and proximity to the Bohol Sea.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff065308190bca9fb24b47757e6 completed April 29, 2026, 1:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4df155e881909d68b23e61d2bfb2 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b51f28ffc81909792131738d8ea93 completed May 18, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0b525e0cf08190a8b18165034d3d30 completed May 18, 2026, 5:54 p.m.
Created at: April 16, 2026, 8:53 p.m.