Triple

T14083666
Position Surface form Disambiguated ID Type / Status
Subject Yokohama city center E338932 entity
Predicate nearby P350 FINISHED
Object Yamashita Park E327891 NE FINISHED

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 city center, nearby, Yamashita Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamashita Park
Context triple: [Yokohama city center, nearby, 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. 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.
  • D. Tokiwa Park
    Tokiwa Park is a scenic public park in Asahikawa, Japan, known for its ponds, walking paths, and seasonal flower displays.
  • E. Ohori Park
    Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb3da748190a29652e17dbeac33 completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 10:21 p.m.