Triple

T9908014
Position Surface form Disambiguated ID Type / Status
Subject Olympic Island E185064 entity
Predicate hasViewOf P854 FINISHED
Object CN Tower E4888 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: CN Tower | Statement: [Olympic Island, hasViewOf, CN Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN Tower
Context triple: [Olympic Island, hasViewOf, CN Tower]
  • A. CN Tower chosen
    The CN Tower is a prominent communications and observation tower in downtown Toronto, Canada, and one of the city's most recognizable skyline landmarks.
  • B. Calgary Tower
    The Calgary Tower is a prominent observation tower and city landmark in downtown Calgary, Alberta, known for its panoramic views and glass-floored observation deck.
  • C. Montreal Tower
    Montreal Tower is an inclined observation and sports tower attached to Montreal's Olympic Stadium, known for its dramatic leaning design and panoramic city views.
  • D. Ontario Tower
    Ontario Tower is a prominent commercial and residential skyscraper located in Dubai’s Business Bay district.
  • E. Clark Tower
    Clark Tower is a historic stone lookout tower and popular scenic landmark located in Winterset City Park in Winterset, Iowa.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50ec61481908f42bd2aa55d9a6e completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20daabd5881908b02da50a640766a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.