Triple

T3230621
Position Surface form Disambiguated ID Type / Status
Subject 内閣総理大臣旗 E67728 entity
Predicate emblem P129 FINISHED
Object 五七桐
五七桐は、日本政府や首相を象徴する紋章として用いられる桐紋の一種である。
E340769 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: 五七桐 | Statement: [内閣総理大臣旗, emblem, 五七桐]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 五七桐
Context triple: [内閣総理大臣旗, emblem, 五七桐]
  • A. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • B. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • C. Liù
    Liù is a gentle, self-sacrificing slave girl in Puccini’s opera "Turandot," known for her unwavering love and tragic death.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Tan Ru
    Tan Ru is a powerful, destructive space probe from the Star Trek universe that has merged with the Nomad probe to form a single, dangerously misguided artificial intelligence.
  • 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: 五七桐
Triple: [内閣総理大臣旗, emblem, 五七桐]
Generated description
五七桐は、日本政府や首相を象徴する紋章として用いられる桐紋の一種である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 五七桐
Target entity description: 五七桐は、日本政府や首相を象徴する紋章として用いられる桐紋の一種である。
  • A. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • B. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • C. Liù
    Liù is a gentle, self-sacrificing slave girl in Puccini’s opera "Turandot," known for her unwavering love and tragic death.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Tan Ru
    Tan Ru is a powerful, destructive space probe from the Star Trek universe that has merged with the Nomad probe to form a single, dangerously misguided artificial intelligence.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb99e088190a8eeca2ca53707e7 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2772e3e2081908dec43f8e4a2fb51 completed March 12, 2026, 8:19 a.m.
NEDg Description generation batch_69b27b9e39f881909627b004494856e2 completed March 12, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69b27bf5514081909418ba6740240c0a completed March 12, 2026, 8:40 a.m.
Created at: March 8, 2026, 3:08 p.m.