Triple
T4413289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Towers |
E94900
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burj Khalifa |
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 Khalifa | Statement: [Executive Towers, near, Burj Khalifa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burj Khalifa Context triple: [Executive Towers, near, Burj Khalifa]
-
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.
Musamman Burj
Musamman Burj is an elegant octagonal marble tower and pavilion within Agra Fort, famed as the place where Mughal emperor Shah Jahan was imprisoned with a view of the Taj Mahal.
-
C.
Jeddah Tower
Jeddah Tower is an under-construction skyscraper in Jeddah, Saudi Arabia, planned to surpass one kilometer in height and become the tallest building in the world.
-
D.
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.
-
E.
Shanghai Tower
Shanghai Tower is a 632-meter-tall supertall skyscraper in Shanghai, China, known as one of the tallest buildings in the world and a prominent symbol of the city's 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f34df20819090767fe4c577be87 |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 12, 2026, 11:29 p.m.