Triple
T17797104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai World Cup Carnival |
E444321
|
entity |
| Predicate | notableRace |
P22
|
FINISHED |
| Object | Al Rashidiya |
—
|
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: Al Rashidiya | Statement: [Dubai World Cup Carnival, notableRace, Al Rashidiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Rashidiya Context triple: [Dubai World Cup Carnival, notableRace, Al Rashidiya]
-
A.
Al Rashidiya
chosen
Al Rashidiya is a residential and commercial community in eastern Dubai known for its proximity to Dubai International Airport and major road links.
-
B.
Al Bateen
Al Bateen is a historic and upscale waterfront district in Abu Dhabi known for its marinas, residential areas, and government institutions.
-
C.
Rubud Ash Sharqiyah
Rubud Ash Sharqiyah is one of the islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
-
D.
Al Thakhira
Al Thakhira is a coastal town in northeastern Qatar known for its mangroves, beaches, and traditional fishing heritage.
-
E.
Al Taweelah
Al Taweelah is an industrial and port area in Abu Dhabi, United Arab Emirates, known for major energy and manufacturing facilities including large power, desalination, and aluminum production plants.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fbc83481909a30fc7203b64099 |
completed | April 19, 2026, 7:44 a.m. |
Created at: April 10, 2026, 10:13 a.m.