Triple

T13432928
Position Surface form Disambiguated ID Type / Status
Subject Iburi Subprefecture E320156 entity
Predicate hasTown P847 FINISHED
Object Taiki
Taiki is a small coastal town located in Hokkaido, Japan, known for its rural landscapes and proximity to the Pacific Ocean.
 E1040665 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: Taiki | Statement: [Iburi Subprefecture, hasTown, Taiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taiki
Context triple: [Iburi Subprefecture, hasTown, Taiki]
  • A. Motobu
    Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
  • B. Tokashiki
    Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • E. Kenichi
    Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • 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: Taiki
Triple: [Iburi Subprefecture, hasTown, Taiki]
Generated description
Taiki is a small coastal town located in Hokkaido, Japan, known for its rural landscapes and proximity to the Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taiki
Target entity description: Taiki is a small coastal town located in Hokkaido, Japan, known for its rural landscapes and proximity to the Pacific Ocean.
  • A. Motobu
    Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
  • B. Tokashiki
    Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • E. Kenichi
    Kenichi is a Japanese masculine given name commonly used for boys and men in Japan.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398da07081908c3eca6fc4213930 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73b065818819095d26633fc682546 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b8635888190b31035bc72676b9d completed May 3, 2026, 12:11 p.m.
Created at: April 9, 2026, 9:40 p.m.