Triple

T7765037
Position Surface form Disambiguated ID Type / Status
Subject Tenri E176121 entity
Predicate hasSisterCity P919 FINISHED
Object Shuya
Shuya is a historic industrial city in Ivanovo Oblast, Russia, known for its textile production and traditional Russian architecture.
 E687115 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: Shuya | Statement: [Tenri, hasSisterCity, Shuya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shuya
Context triple: [Tenri, hasSisterCity, Shuya]
  • A. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • B. Jun’ya
    Jun’ya is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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: Shuya
Triple: [Tenri, hasSisterCity, Shuya]
Generated description
Shuya is a historic industrial city in Ivanovo Oblast, Russia, known for its textile production and traditional Russian architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shuya
Target entity description: Shuya is a historic industrial city in Ivanovo Oblast, Russia, known for its textile production and traditional Russian architecture.
  • A. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • B. Jun’ya
    Jun’ya is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043279748190b30882e9cc6cca54 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7de604c81908f503e1553795d38 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:09 p.m.