Triple
T22384319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beylik of Saruhan |
E553354
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Rum |
—
|
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: Rum | Statement: [Beylik of Saruhan, historicalRegion, Rum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rum Context triple: [Beylik of Saruhan, historicalRegion, Rum]
-
A.
Rum
Rum is a rugged, sparsely populated island in the Inner Hebrides of Scotland, known for its dramatic mountain scenery, wildlife, and status as a National Nature Reserve.
-
B.
Rum
chosen
Rum was a medieval Anatolian region that served as the heartland of the Seljuk Sultanate of Rum and later various Turkish beyliks.
-
C.
Angostura 1919 rum
Angostura 1919 rum is a premium Trinidadian aged rum known for its smooth, mellow character and rich notes of vanilla, caramel, and oak.
-
D.
Bourbon
Bourbon is a historic European royal house of French origin that has ruled over several countries, including France and Spain.
-
E.
Bourbon
Bourbon is a popular cream-filled chocolate sandwich biscuit brand produced by Britannia Industries and widely consumed as a sweet snack.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.