Triple
T796622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burj Al Arab |
E17036
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Jumeirah |
E22890
|
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: Jumeirah | Statement: [Burj Al Arab, locatedIn, Jumeirah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jumeirah Context triple: [Burj Al Arab, locatedIn, Jumeirah]
-
A.
Jumeirah
chosen
Jumeirah is an upscale coastal district in Dubai known for its luxury hotels, residential areas, and popular public beaches along the Persian Gulf.
-
B.
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.
-
C.
Palm Jumeirah
Palm Jumeirah is an artificial, palm tree–shaped island in Dubai known for its luxury resorts, upscale residences, and waterfront leisure attractions.
-
D.
Dubai Marina
Dubai Marina is a modern, upscale waterfront district in Dubai known for its high-rise skyline, luxury residences, and vibrant dining and leisure scene along an artificial canal.
-
E.
Yas Island
Yas Island is a major leisure and entertainment destination in Abu Dhabi, United Arab Emirates, known for its theme parks, motorsport circuit, and luxury resorts.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b172e88190a26d31c9075b81fb |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67effd3b481909036bdc43d7b909f |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:38 p.m.