Triple

T1400421
Position Surface form Disambiguated ID Type / Status
Subject SkyPod E30767 entity
Predicate locatedIn P40 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: [SkyPod, locatedIn, CN Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN Tower
Context triple: [SkyPod, locatedIn, 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. Ontario Tower
    Ontario Tower is a prominent commercial and residential skyscraper located in Dubai’s Business Bay district.
  • D. TD Canada Trust Tower
    TD Canada Trust Tower is a prominent office skyscraper in downtown Toronto that forms part of the Brookfield Place complex and houses major financial and corporate tenants.
  • E. Central Tower
    Central Tower is the slender, octagonal, spire-topped ventilation and bell tower rising from the middle of the Palace of Westminster in London.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232309c88190a4ba4f6de7b44035 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 7:59 p.m.