Triple

T23106035
Position Surface form Disambiguated ID Type / Status
Subject Yokohama, Kanagawa, Japan E576168 entity
Predicate hasLandmark P105 FINISHED
Object Yamashita Park NE NERFINISHED

How this triple was built (2 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: Yamashita Park | Statement: [Yokohama, Kanagawa, Japan, hasLandmark, Yamashita Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamashita Park
Context triple: [Yokohama, Kanagawa, Japan, hasLandmark, Yamashita Park]
  • A. Yamashita Park chosen
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • B. Nakajima Park
    Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
  • C. Tsuyama Park
    Tsuyama Park is a historic public park in Tsuyama, Japan, renowned for its extensive cherry blossoms and the preserved ruins of Tsuyama Castle.
  • D. Utsubo Park
    Utsubo Park is a large urban green space in central Osaka known for its rose garden, tennis courts, and role as a popular recreational and event spot.
  • E. Toyohira Park
    Toyohira Park is a public green space in Sapporo, Japan, known for its recreational facilities, walking paths, and seasonal scenery enjoyed by local residents and visitors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0ad44c81908e1873d4b3860323 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.