Triple

T2454822
Position Surface form Disambiguated ID Type / Status
Subject Hirakata Park E54394 entity
Predicate nativeName P15 FINISHED
Object ひらかたパーク E54394 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: ひらかたパーク | Statement: [Hirakata Park, nativeName, ひらかたパーク]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ひらかたパーク
Context triple: [Hirakata Park, nativeName, ひらかたパーク]
  • A. Moerenuma Park
    Moerenuma Park is a large, sculpture-like public park in Sapporo, Japan, designed by artist Isamu Noguchi and known for its striking geometric landscapes and artful integration of nature and design.
  • B. Kitanomaru Park
    Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
  • C. Hirakata Park chosen
    Hirakata Park is a long-running amusement park in Hirakata, Osaka Prefecture, Japan, featuring a variety of rides, seasonal events, and family-oriented attractions.
  • D. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • E. Higashi Ayase Park
    Higashi Ayase Park is a public green space in Tokyo’s Adachi ward, known for its sports facilities, playgrounds, and walking paths.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd0f7f85c8190a60970b6adb7fe80 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17932530819097caefff366e2183 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.