Triple

T13043568
Position Surface form Disambiguated ID Type / Status
Subject Landmark Tower E327258 entity
Predicate hasObservationDeck P105 FINISHED
Object Sky Garden E326399 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: Sky Garden | Statement: [Landmark Tower, hasObservationDeck, Sky Garden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Garden
Context triple: [Landmark Tower, hasObservationDeck, Sky Garden]
  • A. Sky Garden
    Sky Garden is a public rooftop garden and observation deck in London offering panoramic views of the city from the top of 20 Fenchurch Street.
  • B. Sky Garden chosen
    Sky Garden is the high-rise observation deck in Yokohama Landmark Tower offering panoramic views over Yokohama and Tokyo Bay.
  • C. Landmark 72 Tower
    Landmark 72 Tower is a prominent skyscraper in Hanoi, Vietnam, known as one of the tallest buildings in the country and a major commercial and office hub.
  • D. Sky Tower
    Sky Tower is a prominent skyscraper complex in Wrocław, Poland, known as one of the tallest buildings in the country and a major commercial and residential hub.
  • E. Sky Tower
    Sky Tower is a prominent telecommunications and observation tower in Auckland, New Zealand, known for its panoramic city views and iconic place in the skyline.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98050157c8190bb8c640b759ac2b7 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd720248190a23a07dadc7e1348 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:56 p.m.