Triple
T551629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burj Khalifa |
E11851
|
entity |
| Predicate | hasObservationDeck |
P105
|
FINISHED |
| Object | At the Top SKY |
E68561
|
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: At the Top SKY | Statement: [Burj Khalifa, hasObservationDeck, At the Top SKY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: At the Top SKY Context triple: [Burj Khalifa, hasObservationDeck, At the Top SKY]
-
A.
At the Top
chosen
At the Top is the Burj Khalifa’s main public observation experience, offering panoramic views of Dubai from some of the world’s highest viewing platforms.
-
B.
Touch the Sky
"Touch the Sky" is a hit hip-hop single by Kanye West featuring Lupe Fiasco, known for its triumphant horn-driven production and inspirational lyrics about ambition and success.
-
C.
Ribbon in the Sky
"Ribbon in the Sky" is a romantic R&B ballad by Stevie Wonder, celebrated for its soulful melody and heartfelt lyrics about enduring love.
-
D.
Light Up the Sky
Light Up the Sky is a 1948 Broadway comedy play by Moss Hart that satirizes the egos and chaos surrounding a theatrical production’s out-of-town tryout.
-
E.
Aim High
"Aim High" is a song by John Legend from his R&B album *Love in the Future*.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e3f755288190bcbf798cd52f84e1 |
completed | March 2, 2026, 1:12 a.m. |
Created at: March 1, 2026, 7:32 p.m.