Triple

T22604196
Position Surface form Disambiguated ID Type / Status
Subject Zushi Beach E574910 entity
Predicate nearbyAttraction P3449 FINISHED
Object Zushi Marina 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: Zushi Marina | Statement: [Zushi Beach, nearbyAttraction, Zushi Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zushi Marina
Context triple: [Zushi Beach, nearbyAttraction, Zushi Marina]
  • A. Enoshima Yacht Harbor
    Enoshima Yacht Harbor is a prominent marina in Fujisawa, Japan, known for hosting major sailing events including those of the Tokyo Olympic Games.
  • B. Zushi Beach
    Zushi Beach is a popular seaside destination in Kanagawa Prefecture, Japan, known for its calm waters, views of Mount Fuji, and easy access from central Tokyo.
  • C. Hayama Marina chosen
    Hayama Marina is a coastal yacht harbor and marina complex in Hayama, Kanagawa Prefecture, Japan, known for recreational boating and waterfront leisure facilities.
  • D. Toyosu
    Toyosu is a modern waterfront district in Tokyo best known for its large-scale urban redevelopment and the Toyosu Market, which replaced the historic Tsukiji fish market.
  • E. Atami Port
    Atami Port is a coastal harbor facility in Atami, Japan, serving as a gateway for local fishing, marine transport, and sightseeing cruises.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626fad6881909895cc8c0af62f0d completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:51 p.m.