Triple
T3559777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bega |
E75307
|
entity |
| Predicate | isIn |
P1393
|
FINISHED |
| Object | Bega Valley |
E75307
|
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: Bega Valley | Statement: [Bega, isIn, Bega Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bega Valley Context triple: [Bega, isIn, Bega Valley]
-
A.
Bega
chosen
Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
-
B.
Uco Valley
Uco Valley is a renowned high-altitude wine-producing region in Argentina, celebrated especially for its Malbec and other premium varietals.
-
C.
Fassa Valley
Fassa Valley is a scenic alpine valley in the Dolomites of northern Italy, renowned for its Ladin culture, ski resorts, and hiking opportunities.
-
D.
Toggenburg valley
Toggenburg valley is a picturesque alpine valley in northeastern Switzerland known for its traditional villages, hiking and skiing areas, and scenic mountain landscapes.
-
E.
Borgaretto
Borgaretto is a locality in northern Italy that hosts industrial facilities, including operations of the aerospace company Avio Aero.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc089270c81908bc200c84fe1592e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb9de4bc8190ba5d111465e66cf8 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.