Triple

T2797594
Position Surface form Disambiguated ID Type / Status
Subject Expo '75 E53075 entity
Predicate hostCity P1798 FINISHED
Object 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.
 E299500 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: Motobu | Statement: [Expo '75, hostCity, Motobu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Motobu
Context triple: [Expo '75, hostCity, Motobu]
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • C. Masayuki
    Masayuki is a Japanese given name commonly used for males.
  • D. Heihachiro
    Heihachiro is a masculine Japanese given name most famously borne by Admiral Tōgō Heihachirō, a celebrated naval commander of the Imperial Japanese Navy.
  • E. Konan
    Konan is a city located in Shiga Prefecture, Japan, known for its mix of rural landscapes, historical sites, and residential areas.
  • 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: Motobu
Triple: [Expo '75, hostCity, Motobu]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Motobu
Target entity description: 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.
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • C. Masayuki
    Masayuki is a Japanese given name commonly used for males.
  • D. Heihachiro
    Heihachiro is a masculine Japanese given name most famously borne by Admiral Tōgō Heihachirō, a celebrated naval commander of the Imperial Japanese Navy.
  • E. Konan
    Konan is a city located in Shiga Prefecture, Japan, known for its mix of rural landscapes, historical sites, and residential areas.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf204148190a53f3f30d645d94c completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66798148190bd7b163043167409 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6e6d4bc81908108fe24677448c3 completed March 10, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69afc792051c8190b8c95156e5fcfe2f completed March 10, 2026, 7:26 a.m.
Created at: March 6, 2026, 9:58 p.m.