Triple
T20862003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Dubai |
E513642
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Dubai Frame |
—
|
NE NERFINISHED |
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: Dubai Frame | Statement: [City of Dubai, hasLandmark, Dubai Frame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Frame Context triple: [City of Dubai, hasLandmark, Dubai Frame]
-
A.
Dubai Frame
chosen
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.
-
B.
Dubai Millennium
Dubai Millennium was a champion Thoroughbred racehorse renowned for his dominant performances on the international racing circuit.
-
C.
Emaar Square
Emaar Square is a prominent mixed-use commercial complex in Dubai known for its modern office towers and proximity to major attractions in Downtown Dubai.
-
D.
Infinity Tower (Dubai)
Infinity Tower (Dubai), now known as Cayan Tower, is a 75-story residential skyscraper in Dubai Marina famous for its striking 90-degree helical twist.
-
E.
Dubai Harbour
Dubai Harbour is a large waterfront development in Dubai featuring a cruise terminal, marina, residential and retail areas, and leisure attractions along the city’s coastline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.