Triple

T10814329
Position Surface form Disambiguated ID Type / Status
Subject Omiya Bonsai Village E255184 entity
Predicate near P350 FINISHED
Object Omiya Park E876434 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: Omiya Park | Statement: [Omiya Bonsai Village, near, Omiya Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omiya Park
Context triple: [Omiya Bonsai Village, near, Omiya Park]
  • A. Ōmiya Park chosen
    Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
  • B. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • C. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • D. Maizuru Park
    Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
  • E. Nakajima Park
    Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.