Triple

T15941046
Position Surface form Disambiguated ID Type / Status
Subject Kita-ku, Osaka E386560 entity
Predicate contains P35 FINISHED
Object Oyodo
Oyodo is a district within Kita-ku in Osaka, Japan, known as a residential and commercial area near the city center.
 E1234737 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: Oyodo | Statement: [Kita-ku, Osaka, contains, Oyodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oyodo
Context triple: [Kita-ku, Osaka, contains, Oyodo]
  • A. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • B. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • C. Yodo
    Yodo is a district in Kyoto, Japan, historically notable as a key strategic site during the late Edo period, including the Battle of Toba–Fushimi.
  • D. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • E. Kagayaki
    Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
  • 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: Oyodo
Triple: [Kita-ku, Osaka, contains, Oyodo]
Generated description
Oyodo is a district within Kita-ku in Osaka, Japan, known as a residential and commercial area near the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oyodo
Target entity description: Oyodo is a district within Kita-ku in Osaka, Japan, known as a residential and commercial area near the city center.
  • A. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • B. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • C. Yodo
    Yodo is a district in Kyoto, Japan, historically notable as a key strategic site during the late Edo period, including the Battle of Toba–Fushimi.
  • D. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • E. Kagayaki
    Kagayaki is the fastest limited-stop train service operating on Japan’s Hokuriku Shinkansen line between Tokyo and the Hokuriku region.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b3ba6b048190a25e17c41921c370 completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b43279688190bf012544b9e6ec41 completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 4:53 a.m.