Triple

T1592249
Position Surface form Disambiguated ID Type / Status
Subject Sumida E34202 entity
Predicate knownFor P22 FINISHED
Object Tokyo Skytree E34203 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 Skytree | Statement: [Sumida, knownFor, Tokyo Skytree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Skytree
Context triple: [Sumida, knownFor, Tokyo Skytree]
  • A. Tokyo Skytree chosen
    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.
  • B. Abeno Harukas
    Abeno Harukas is a 300-meter-tall skyscraper in Osaka, Japan, known as one of the country's tallest buildings and a major commercial, cultural, and observation complex.
  • C. 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.
  • D. 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.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb2c480008190bb472cfdab74c387 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b5d6f48190baac5d3d6fe13206 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.