Triple
T551616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burj Khalifa |
E11851
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Burj Dubai |
E11851
|
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: Burj Dubai | Statement: [Burj Khalifa, formerName, Burj Dubai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burj Dubai Context triple: [Burj Khalifa, formerName, Burj Dubai]
-
A.
Burj Khalifa
chosen
Burj Khalifa is the world’s tallest skyscraper, a landmark of modern engineering and architecture located in Dubai, United Arab Emirates.
-
B.
Burj Al Arab
Burj Al Arab is a luxury hotel in Dubai famous for its sail-shaped silhouette and status as one of the most iconic and opulent hotels in the world.
-
C.
Cairo Tower
Cairo Tower is a prominent modernist concrete television and observation tower in central Cairo, renowned for its panoramic views over the city and the Nile.
-
D.
Milad Tower
Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
-
E.
Dubai Frame
The Dubai Frame is a massive rectangular landmark and observation structure in Dubai that offers panoramic views of both the city’s historic districts and its modern skyline.
- 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_69a4e0314c84819091d8aca4be0733f3 |
completed | March 2, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:32 p.m.