Triple

T8482447
Position Surface form Disambiguated ID Type / Status
Subject Go E200551 entity
Predicate governingBody P46 FINISHED
Object Kansai Ki-in
Kansai Ki-in is a major Japanese Go organization that oversees professional players and promotes the game, particularly in the Kansai region.
 E736786 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: Kansai Ki-in | Statement: [Go, governingBody, Kansai Ki-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kansai Ki-in
Context triple: [Go, governingBody, Kansai Ki-in]
  • A. Kansai Kūkō
    Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
  • B. Kashio Seisakujo
    Kashio Seisakujo was the original small Japanese manufacturing workshop founded by the Kashio brothers that evolved into the global electronics company Casio.
  • C. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • D. Kōten Kōkyūjo
    Kōten Kōkyūjo was the original scholarly institute that evolved into Kokugakuin University, focusing on the study of classical Japanese texts and Shinto.
  • E. Meijō
    Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
  • 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: Kansai Ki-in
Triple: [Go, governingBody, Kansai Ki-in]
Generated description
Kansai Ki-in is a major Japanese Go organization that oversees professional players and promotes the game, particularly in the Kansai region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kansai Ki-in
Target entity description: Kansai Ki-in is a major Japanese Go organization that oversees professional players and promotes the game, particularly in the Kansai region.
  • A. Kansai Kūkō
    Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
  • B. Kashio Seisakujo
    Kashio Seisakujo was the original small Japanese manufacturing workshop founded by the Kashio brothers that evolved into the global electronics company Casio.
  • C. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • D. Kōten Kōkyūjo
    Kōten Kōkyūjo was the original scholarly institute that evolved into Kokugakuin University, focusing on the study of classical Japanese texts and Shinto.
  • E. Meijō
    Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.