Triple
T12238063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanday (Small Isles) |
E291652
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rum |
E15002
|
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: Rum | Statement: [Sanday (Small Isles), near, Rum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rum Context triple: [Sanday (Small Isles), near, Rum]
-
A.
Rum
chosen
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.
Bourbon
Bourbon is a historic European royal house of French origin that has ruled over several countries, including France and Spain.
-
C.
Curaçao liqueur
Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
-
D.
Kahlúa
Kahlúa is a popular Mexican coffee-flavored liqueur made with rum, sugar, and arabica coffee, widely used in cocktails and desserts.
-
E.
Cacique rum
Cacique rum is a popular Venezuelan rum brand known for its smooth taste and wide distribution in Latin America and beyond.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab3ae2481908f65d8ac61a6b2e4 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.