Triple

T1400307
Position Surface form Disambiguated ID Type / Status
Subject SkyPod observation deck E30763 entity
Predicate hasName P744 FINISHED
Object SkyPod E30767 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: SkyPod | Statement: [SkyPod observation deck, hasName, SkyPod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyPod
Context triple: [SkyPod observation deck, hasName, SkyPod]
  • A. SkyPod chosen
    SkyPod is the highest observation deck of Toronto’s CN Tower, offering panoramic views from near the top of the landmark skyscraper.
  • B. Skyride
    Skyride is an aerial cable car attraction at Busch Gardens Tampa Bay that transports guests above the park for scenic views of its themed areas and animal habitats.
  • C. Swoop
    Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
  • D. SkyPod observation deck
    The SkyPod observation deck is one of the highest public viewing platforms in the world, offering panoramic views from near the top of Toronto’s CN Tower.
  • E. Flying Coaster
    Flying Coaster is a type of steel roller coaster featuring a prone, face-down riding position that simulates the sensation of flying.
  • 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_69acde3799f881908efb4ee73d412482 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.