Triple
T965217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Frame |
E20822
|
entity |
| Predicate | offersViewOf |
P3821
|
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: [Dubai Frame, offersViewOf, Burj Khalifa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burj Khalifa Context triple: [Dubai Frame, offersViewOf, 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.
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.
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.
-
D.
Diamond Tower
Diamond Tower is a prominent skyscraper in Ramat Gan, Israel, known for housing offices and facilities related to the country's diamond industry.
-
E.
Tokyo Skytree
Tokyo Skytree is a broadcasting and observation tower in Tokyo and one of the tallest structures in the world, known for its panoramic city views and distinctive futuristic design.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac17034cf48190bca513891cfcc444 |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.