Triple

T21361798
Position Surface form Disambiguated ID Type / Status
Subject Ishikawa Prefecture E526799 entity
Predicate hasCity P316 FINISHED
Object Kahoku
Kahoku is a coastal city in central Japan located in Ishikawa Prefecture on the Sea of Japan.
 E1494820 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: Kahoku | Statement: [Ishikawa Prefecture, hasCity, Kahoku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kahoku
Context triple: [Ishikawa Prefecture, hasCity, Kahoku]
  • A. Makinami
    Makinami was a Japanese destroyer of the Imperial Japanese Navy that served in World War II, notably in Pacific naval engagements.
  • B. Yugawara
    Yugawara is a coastal hot spring resort town in Kanagawa Prefecture, Japan, known for its onsen, scenic seaside views, and proximity to the Hakone and Izu regions.
  • C. Natori
    Natori is a city in Miyagi Prefecture, Japan, located just south of Sendai.
  • D. Kizuki
    Kizuki is a pivotal, emotionally fragile character in Haruki Murakami's novel "Norwegian Wood," whose death profoundly shapes the lives of those close to him.
  • E. Otomari
    Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
  • 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: Kahoku
Triple: [Ishikawa Prefecture, hasCity, Kahoku]
Generated description
Kahoku is a coastal city in central Japan located in Ishikawa Prefecture on the Sea of Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kahoku
Target entity description: Kahoku is a coastal city in central Japan located in Ishikawa Prefecture on the Sea of Japan.
  • A. Makinami
    Makinami was a Japanese destroyer of the Imperial Japanese Navy that served in World War II, notably in Pacific naval engagements.
  • B. Yugawara
    Yugawara is a coastal hot spring resort town in Kanagawa Prefecture, Japan, known for its onsen, scenic seaside views, and proximity to the Hakone and Izu regions.
  • C. Natori
    Natori is a city in Miyagi Prefecture, Japan, located just south of Sendai.
  • D. Kizuki
    Kizuki is a pivotal, emotionally fragile character in Haruki Murakami's novel "Norwegian Wood," whose death profoundly shapes the lives of those close to him.
  • E. Otomari
    Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06a4e4c8190923741bfae0e4234 completed April 22, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a157fa00881908ec8c99b22a97893 completed May 17, 2026, 7:22 p.m.
NEDg Description generation batch_6a0a160a5dd88190aed38fd0d94a8307 completed May 17, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1681ef548190a8d55be4d00f44e5 completed May 17, 2026, 7:26 p.m.
Created at: April 16, 2026, 5:08 p.m.