Triple

T6129741
Position Surface form Disambiguated ID Type / Status
Subject Takarazuka E136682 entity
Predicate hasSisterCity P919 FINISHED
Object Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
 E781469 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: Yurihonjō | Statement: [Takarazuka, hasSisterCity, Yurihonjō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yurihonjō
Context triple: [Takarazuka, hasSisterCity, Yurihonjō]
  • A. Higashikawa
    Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
  • B. Semboku
    Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • E. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • 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: Yurihonjō
Triple: [Takarazuka, hasSisterCity, Yurihonjō]
Generated description
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yurihonjō
Target entity description: Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
  • A. Higashikawa
    Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
  • B. Semboku
    Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • E. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4c8570819096dc87f0de2a9887 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05422b25c819098189ac202c20123 completed April 3, 2026, 11:58 p.m.
NEDg Description generation batch_69d054c5c324819084adb6da1c76ce76 completed April 4, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69d055512f4081908d6c972e8402910b completed April 4, 2026, 12:03 a.m.
Created at: March 22, 2026, 4:15 p.m.