Triple

T17734227
Position Surface form Disambiguated ID Type / Status
Subject Sakishima Island E442670 entity
Predicate contains P35 FINISHED
Object Cosmo Tower NE NERFINISHED

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: Cosmo Tower | Statement: [Sakishima Island, contains, Cosmo Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmo Tower
Context triple: [Sakishima Island, contains, Cosmo Tower]
  • A. Cosmo Tower
    Cosmo Tower is a prominent skyscraper in Osaka, Japan, known for housing the Osaka Prefectural Government offices and offering an observation deck with panoramic city and bay views.
  • B. WTC Cosmo Tower chosen
    WTC Cosmo Tower is a prominent skyscraper in Osaka, Japan, known for its distinctive design and observation facilities overlooking the city and Osaka Bay.
  • C. Kaikyō Yume Tower
    Kaikyō Yume Tower is a prominent observation tower in Shimonoseki, Japan, known for its panoramic views over the Kanmon Straits and the surrounding cityscape.
  • D. Kabukiza Tower
    Kabukiza Tower is a modern high-rise office and commercial building in Tokyo that integrates with the historic Kabuki-za Theatre complex.
  • E. Kokui tower
    Kokui Tower is a prominent historic watchtower and architectural landmark within the medieval Novgorod Kremlin in Veliky Novgorod, Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e98a00819089490be2aa36873d completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.