Triple

T15619426
Position Surface form Disambiguated ID Type / Status
Subject Shinsekai E375508 entity
Predicate hasCulinarySpecialty P17589 FINISHED
Object doteyaki
Doteyaki is a traditional Osaka dish of beef sinew slowly simmered in a rich miso-based sauce, commonly enjoyed as a hearty izakaya snack.
E1168634 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: doteyaki | Statement: [Shinsekai, hasCulinarySpecialty, doteyaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: doteyaki
Context triple: [Shinsekai, hasCulinarySpecialty, doteyaki]
  • A. Kanjizai
    Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
  • B. Jiigatake
    Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
  • C. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • D. Dashi
    Dashi is a tech-savvy dachshund and the Octonauts’ photographer and IT expert who manages their communications and data.
  • E. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • 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: doteyaki
Triple: [Shinsekai, hasCulinarySpecialty, doteyaki]
Generated description
Doteyaki is a traditional Osaka dish of beef sinew slowly simmered in a rich miso-based sauce, commonly enjoyed as a hearty izakaya snack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: doteyaki
Target entity description: Doteyaki is a traditional Osaka dish of beef sinew slowly simmered in a rich miso-based sauce, commonly enjoyed as a hearty izakaya snack.
  • A. Kanjizai
    Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
  • B. Jiigatake
    Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
  • C. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • D. Dashi
    Dashi is a tech-savvy dachshund and the Octonauts’ photographer and IT expert who manages their communications and data.
  • E. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff5fea7cb48190a1acb9201a12fa32 completed May 9, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69ff62e84bec81908a4885bf7f8f3749 completed May 9, 2026, 4:38 p.m.
Created at: April 10, 2026, 4:13 a.m.