Triple

T8664675
Position Surface form Disambiguated ID Type / Status
Subject Okinawa City E205637 entity
Predicate mergerOf P402 FINISHED
Object Misato
Misato was a former municipality in Okinawa Prefecture, Japan, that was incorporated into the present-day city of Okinawa.
 E749306 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: Misato | Statement: [Okinawa City, mergerOf, Misato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Misato
Context triple: [Okinawa City, mergerOf, Misato]
  • A. Misato
    Misato is a city located in Saitama Prefecture, Japan, known as part of the Greater Tokyo metropolitan area.
  • B. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • C. Rieko Kodama
    Rieko Kodama was a pioneering Japanese video game designer and producer at Sega, best known for her influential work on classic role-playing games and for being one of the first prominent women in the game industry.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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: Misato
Triple: [Okinawa City, mergerOf, Misato]
Generated description
Misato was a former municipality in Okinawa Prefecture, Japan, that was incorporated into the present-day city of Okinawa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Misato
Target entity description: Misato was a former municipality in Okinawa Prefecture, Japan, that was incorporated into the present-day city of Okinawa.
  • A. Misato
    Misato is a city located in Saitama Prefecture, Japan, known as part of the Greater Tokyo metropolitan area.
  • B. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • C. Rieko Kodama
    Rieko Kodama was a pioneering Japanese video game designer and producer at Sega, best known for her influential work on classic role-playing games and for being one of the first prominent women in the game industry.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8e5afc8190912b6eb9c80dd073 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf8ee4f48190bb901e35ade91b6c completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.