Triple

T21327468
Position Surface form Disambiguated ID Type / Status
Subject Enoshima E525798 entity
Predicate hasLandmark P105 FINISHED
Object Enoshima Sea Candle 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: Enoshima Sea Candle | Statement: [Enoshima, hasLandmark, Enoshima Sea Candle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enoshima Sea Candle
Context triple: [Enoshima, hasLandmark, Enoshima Sea Candle]
  • A. Enoshima Sea Candle chosen
    Enoshima Sea Candle is a prominent lighthouse and observation tower on Enoshima Island in Japan, known for its panoramic views of the Shōnan coastline and Mount Fuji.
  • B. Manazuru
    Manazuru is a small coastal town in Kanagawa Prefecture, Japan, known for its scenic peninsula, fishing industry, and views of Sagami Bay.
  • C. Yokoshibahikari
    Yokoshibahikari is a coastal town in Chiba Prefecture, Japan, known for encompassing part of the long sandy shoreline of Kujūkuri Beach along the Pacific Ocean.
  • D. Hanayo
    Hanayo is a shy, rice-loving first-year student and aspiring idol from the multimedia project Love Live! School Idol Project.
  • E. Tsukumi
    Tsukumi is a coastal city in Japan known for its cement industry and location along the Bungo Channel in Ōita Prefecture on Kyushu Island.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4d69b4819088649e34213d0b67 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.