Triple

T9939480
Position Surface form Disambiguated ID Type / Status
Subject Akashi E194040 entity
Predicate tourismAttraction P530 FINISHED
Object Akashi Park E840233 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: Akashi Park | Statement: [Akashi, tourismAttraction, Akashi Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akashi Park
Context triple: [Akashi, tourismAttraction, Akashi Park]
  • A. Akashi Park chosen
    Akashi Park is a historic public park in Akashi, Japan, known for its castle ruins, seasonal cherry blossoms, and traditional landscaped grounds.
  • B. Tempozan Park
    Tempozan Park is a waterfront public park in Osaka’s Tempozan Harbor Village area, known for its views of Osaka Bay and proximity to attractions like the Tempozan Ferris Wheel and Osaka Aquarium Kaiyukan.
  • C. Mizumoto Park
    Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
  • D. Miyanosawa Park
    Miyanosawa Park is a public recreational green space located in the Miyanosawa area of Nishi-ku, Sapporo, Japan.
  • E. 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.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e819e08190967b799fd236749e completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb6276ec8190ad8623129f804c91 completed April 5, 2026, 8:51 p.m.
Created at: March 30, 2026, 8:44 p.m.