Triple

T6197266
Position Surface form Disambiguated ID Type / Status
Subject Zushi Station E138539 entity
Predicate nearbyAttraction P3449 FINISHED
Object Zushi Marina area E574910 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: Zushi Marina area | Statement: [Zushi Station, nearbyAttraction, Zushi Marina area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zushi Marina area
Context triple: [Zushi Station, nearbyAttraction, Zushi Marina area]
  • A. Zushi Beach chosen
    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.
  • B. Tempozan Harbor Village
    Tempozan Harbor Village is a waterfront shopping and entertainment complex in Osaka, Japan, known for attractions like the Tempozan Ferris Wheel and its proximity to the Osaka Aquarium Kaiyukan.
  • C. Hatanodai
    Hatanodai is a residential neighborhood in Tokyo, Japan, known for its local shopping streets and convenient rail connections.
  • D. Shirokanedai district
    Shirokanedai district is an upscale residential and educational area in Minato, Tokyo, known for its quiet streets, embassies, universities, and proximity to parks and museums.
  • E. Omotesandō
    Omotesandō is a fashionable, tree-lined avenue in Tokyo known for its high-end boutiques, modern architecture, and trendy cafés.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062508f5c8190a00291708a9a7de9 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d96415c8190b0c5c7f9fd19f5be completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:20 p.m.