Triple

T22902377
Position Surface form Disambiguated ID Type / Status
Subject Tateyama E568355 entity
Predicate hasAttraction P105 FINISHED
Object Shiroyama 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: Shiroyama Park | Statement: [Tateyama, hasAttraction, Shiroyama Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiroyama Park
Context triple: [Tateyama, hasAttraction, Shiroyama Park]
  • A. Shiroyama Park chosen
    Shiroyama Park is a historic hillside park in Kagoshima, Japan, known for its panoramic views of the city and Sakurajima volcano and its role in the Satsuma Rebellion.
  • B. Tsurumai Park
    Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
  • C. Nogeyama Park
    Nogeyama Park is a public green space in Yokohama known for its scenic views, seasonal flowers, and proximity to the Nogeyama Zoo.
  • D. 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.
  • E. Maruyama Park
    Maruyama Park is a popular public park in Sapporo, Japan, known for its cherry blossoms, sports facilities, and proximity to Hokkaido Shrine and Mount Maruyama.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18016d8e481908fc47d003156b800 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.