Triple
T2865112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yas Island |
E63419
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Yas Bay |
E305208
|
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: Yas Bay | Statement: [Yas Island, hasDistrict, Yas Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yas Bay Context triple: [Yas Island, hasDistrict, Yas Bay]
-
A.
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.
-
B.
Doha Bay
Doha Bay is a prominent natural harbor along the coast of Doha, Qatar, known for its waterfront skyline and cultural landmarks.
-
C.
Naama Bay
Naama Bay is a popular resort and entertainment district in Sharm El Sheikh, Egypt, known for its beaches, hotels, nightlife, and coral reef diving.
-
D.
Yas Beach
chosen
Yas Beach is a popular leisure destination on Abu Dhabi’s Yas Island, offering a sandy shoreline, watersports, and beachside dining.
-
E.
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.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055e6a7988190b37381667ec26fef |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.