Triple

T3445531
Position Surface form Disambiguated ID Type / Status
Subject Kashiwara E72666 entity
Predicate borderedBy P224 FINISHED
Object Taishi
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
 E359979 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: Taishi | Statement: [Kashiwara, borderedBy, Taishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taishi
Context triple: [Kashiwara, borderedBy, Taishi]
  • A. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • B. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • C. Tsu
    Tsu is a coastal city in central Japan that serves as the administrative and economic center of Mie Prefecture.
  • D. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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: Taishi
Triple: [Kashiwara, borderedBy, Taishi]
Generated description
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taishi
Target entity description: Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
  • A. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • B. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • C. Tsu
    Tsu is a coastal city in central Japan that serves as the administrative and economic center of Mie Prefecture.
  • D. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • E. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2cc3048190ab1385699387df8d completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360deda448190a63a39688be2dbfb completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3618726b08190905a2c93335eede2 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b362586a008190b0d54e5cb38845e3 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.