Triple

T3803510
Position Surface form Disambiguated ID Type / Status
Subject Hadano E91746 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object 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.
 E524029 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: Yamakita | Statement: [Hadano, hasNeighboringMunicipality, Yamakita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yamakita
Context triple: [Hadano, hasNeighboringMunicipality, Yamakita]
  • A. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial 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: Yamakita
Triple: [Hadano, hasNeighboringMunicipality, Yamakita]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yamakita
Target entity description: 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.
  • A. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c17c9e0819088404cd2d81bfe88 completed March 22, 2026, 4:12 a.m.
NEDg Description generation batch_69bf6e81519c81909fae4da630af58b5 completed March 22, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69bf6edb3d78819083912d4ebe691eff completed March 22, 2026, 4:23 a.m.
Created at: March 9, 2026, 3:15 p.m.