Triple
T10076861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Wright |
E213786
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Burj Al Arab |
E17036
|
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 Al Arab | Statement: [Tom Wright, designed, Burj Al Arab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burj Al Arab Context triple: [Tom Wright, designed, Burj Al Arab]
-
A.
Burj Al Arab
chosen
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.
-
B.
Ain Dubai
Ain Dubai is the world’s tallest observation wheel, offering panoramic views of Dubai’s skyline and coastline from Bluewaters Island.
-
C.
Al-Burj
Al-Burj is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
D.
Dubai Creek Tower
Dubai Creek Tower is a planned ultra-tall observation and mixed-use tower in Dubai intended to surpass the Burj Khalifa as a new architectural centerpiece of the city.
-
E.
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.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd02f47e08190bfeb641b202beecc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b649b7488190ad765d4ee6eac5d7 |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:59 p.m.