Triple

T5049066
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Yakult Swallows E113739 entity
Predicate mascot P52 FINISHED
Object Tsubakuro
Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
 E488272 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: Tsubakuro | Statement: [Tokyo Yakult Swallows, mascot, Tsubakuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsubakuro
Context triple: [Tokyo Yakult Swallows, mascot, Tsubakuro]
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Komuro
    Komuro is the married surname of Japan’s former Princess Mako, adopted after her marriage to commoner Kei Komuro.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • E. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • 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: Tsubakuro
Triple: [Tokyo Yakult Swallows, mascot, Tsubakuro]
Generated description
Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsubakuro
Target entity description: Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
  • A. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • B. Komuro
    Komuro is the married surname of Japan’s former Princess Mako, adopted after her marriage to commoner Kei Komuro.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • E. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c9305bc8190b323e69c17241ffc completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d35fd0c819094fc939afeb9f468 completed March 21, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69be9d968ab88190930fa0c72ee56953 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:37 p.m.