Triple
T14200999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf rupee |
E351963
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Muscat and Oman |
E19046
|
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: Muscat and Oman | Statement: [Gulf rupee, usedIn, Muscat and Oman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muscat and Oman Context triple: [Gulf rupee, usedIn, Muscat and Oman]
-
A.
Oman
chosen
Oman is a Middle Eastern country on the southeastern coast of the Arabian Peninsula, known for its historic trading ports, desert and mountain landscapes, and stable, oil-based economy.
-
B.
Muscat
Muscat is the capital and largest city of Oman, known for its historic port, white-washed architecture, and strategic location on the Gulf of Oman.
-
C.
Muscat
Muscat is a highly aromatic family of grape varieties known for producing sweet, floral, and musky wines in many wine regions around the world.
-
D.
Dhofar
Dhofar is a coastal and mountainous region in southwestern Oman known for its monsoon climate, frankincense production, and historical role in Arabian trade routes.
-
E.
Ras Al Khaimah
Ras Al Khaimah is one of the seven emirates of the United Arab Emirates, known for its mountains, desert landscapes, and growing tourism industry.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324b86748190b3e0a39383969cc7 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:04 a.m.