Triple
T1400429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyPod |
E30767
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object | Space Deck |
E30763
|
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: Space Deck | Statement: [SkyPod, formerlyKnownAs, Space Deck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Space Deck Context triple: [SkyPod, formerlyKnownAs, Space Deck]
-
A.
Flight Deck
Flight Deck is a steel inverted roller coaster at Canada's Wonderland themed around fighter jets and known for its intense, looping layout.
-
B.
NASA Skylab interior
The NASA Skylab interior was the living and working space of America’s first space station, notable for its human-centered design that improved astronaut comfort and habitability in orbit.
-
C.
SkyPod observation deck
chosen
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.
-
D.
Crew's Cup Lounge
Crew's Cup Lounge is a cozy, nautically themed bar and lounge at Walt Disney World known for its relaxed atmosphere, specialty drinks, and hearty pub-style fare.
-
E.
Port of Borg
The Port of Borg is a key commercial seaport in eastern Norway that handles regional cargo traffic and supports industrial and maritime activities in the area.
- 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.