Triple

T15619404
Position Surface form Disambiguated ID Type / Status
Subject Shinsekai E375508 entity
Predicate hasLandmark P105 FINISHED
Object Tsutenkaku Tower E6592 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: Tsutenkaku Tower | Statement: [Shinsekai, hasLandmark, Tsutenkaku Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsutenkaku Tower
Context triple: [Shinsekai, hasLandmark, Tsutenkaku Tower]
  • A. Tsutenkaku Tower chosen
    Tsutenkaku Tower is a historic observation and entertainment tower in Osaka, Japan, known as a symbol of the city’s Shinsekai district.
  • B. 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.
  • C. Japanese Tower
    The Japanese Tower is an ornate, pagoda-style structure in Brussels that forms part of King Leopold II’s Far East-inspired monuments within the Royal Domain of Laeken.
  • D. Nagoya TV Tower
    Nagoya TV Tower is a historic steel observation and broadcasting tower in central Nagoya, Japan, known as a prominent city landmark and tourist attraction.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa124e7d48190ac25e9541dea0122 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:13 a.m.