Triple
T18949469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon Mart |
E463606
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Nakheel |
—
|
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: Nakheel | Statement: [Dragon Mart, owner, Nakheel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakheel Context triple: [Dragon Mart, owner, Nakheel]
-
A.
Nakheel Properties
chosen
Nakheel Properties is a major Dubai-based real estate developer best known for creating iconic large-scale projects such as the Palm Jumeirah artificial island.
-
B.
Jumeirah
Jumeirah is an upscale coastal district in Dubai known for its luxury hotels, residential areas, and popular public beaches along the Persian Gulf.
-
C.
Madinat Jumeirah
Madinat Jumeirah is a large luxury resort complex in Dubai designed in a traditional Arabian style, featuring hotels, waterways, a souk, and extensive leisure and dining facilities.
-
D.
Jumeirah Lake Towers
Jumeirah Lake Towers is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
-
E.
Nakheel Mall
Nakheel Mall is a large, upscale shopping and entertainment complex located on Dubai’s Palm Jumeirah, featuring retail stores, dining, and leisure attractions.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d541ef18819080b2e253dd23835d |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, noon