Triple

T11278808
Position Surface form Disambiguated ID Type / Status
Subject Shiba Park E267006 entity
Predicate hasView P854 FINISHED
Object Tokyo Tower E34445 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: Tokyo Tower | Statement: [Shiba Park, hasView, Tokyo Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Tower
Context triple: [Shiba Park, hasView, Tokyo Tower]
  • A. Tokyo Tower chosen
    Tokyo Tower is a landmark red-and-white communications and observation tower in central Tokyo, famous for its city views and Eiffel Tower-inspired design.
  • B. Tokyo Skytree
    Tokyo Skytree is a broadcasting and observation tower in Tokyo and one of the tallest structures in the world, known for its panoramic city views and distinctive futuristic design.
  • C. Yokohama Landmark Tower
    Yokohama Landmark Tower is a prominent skyscraper in Yokohama, Japan, known for its height, office and hotel facilities, and observation deck offering panoramic city and bay views.
  • D. Kyoto Tower
    Kyoto Tower is a prominent modern observation tower and landmark in Kyoto, offering panoramic views of the historic city from its central location.
  • E. Yokohama Marine Tower
    Yokohama Marine Tower is a prominent coastal observation tower and tourist attraction in Yokohama, Japan, offering panoramic views of the city and its harbor.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f455f0bc8190994c57264f775f60 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.