Triple

T11742286
Position Surface form Disambiguated ID Type / Status
Subject Yamasaki E279184 entity
Predicate hasVariantSpelling P457 FINISHED
Object Yamazaki
Yamazaki is a common Japanese surname and place name associated with various individuals, companies, and locations in Japan.
 E999809 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: Yamazaki | Statement: [Yamasaki, hasVariantSpelling, Yamazaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamazaki
Context triple: [Yamasaki, hasVariantSpelling, Yamazaki]
  • A. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • B. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • C. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • D. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka 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: Yamazaki
Triple: [Yamasaki, hasVariantSpelling, Yamazaki]
Generated description
Yamazaki is a common Japanese surname and place name associated with various individuals, companies, and locations in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamazaki
Target entity description: Yamazaki is a common Japanese surname and place name associated with various individuals, companies, and locations in Japan.
  • A. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • B. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • C. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • D. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5c80cc819099b0ad7a2911781c completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ed2eac88190938747d2c75bae86 completed May 2, 2026, 10:46 p.m.
Created at: April 8, 2026, 9:41 p.m.