Triple

T12018241
Position Surface form Disambiguated ID Type / Status
Subject Kyoto Tower E286080 entity
Predicate nativeName P15 FINISHED
Object 京都タワー E286080 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: 京都タワー | Statement: [Kyoto Tower, nativeName, 京都タワー]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 京都タワー
Context triple: [Kyoto Tower, nativeName, 京都タワー]
  • A. Kyoto Tower chosen
    Kyoto Tower is a prominent modern observation tower and landmark in Kyoto, offering panoramic views of the historic city from its central location.
  • B. Tokyo Tower
    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.
  • 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. 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.
  • E. Tsutenkaku Tower
    Tsutenkaku Tower is a historic observation and entertainment tower in Osaka, Japan, known as a symbol of the city’s Shinsekai district.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.