Triple
T23113778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peumo |
E576391
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Rapel Valley |
E31908
|
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: Rapel Valley | Statement: [Peumo, partOf, Rapel Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapel Valley Context triple: [Peumo, partOf, Rapel Valley]
-
A.
Rapel Valley
chosen
Rapel Valley is a prominent Chilean wine-producing region in the Central Valley known for its high-quality red wines, particularly Carmenère and Cabernet Sauvignon.
-
B.
Rangitata Valley
Rangitata Valley is a broad glacial valley in Canterbury, New Zealand, known for its braided river landscapes, pastoral farming, and dramatic Southern Alps scenery.
-
C.
Lontué Valley
Lontué Valley is a wine-producing region in Chile’s Maule Valley, known for its vineyards and agricultural landscapes along the Lontué River.
-
D.
Maule Valley
Maule Valley is a prominent wine-producing region in central Chile, known for its diverse terroir and significant output of red and white varietals.
-
E.
Colchagua Valley
Colchagua Valley is a renowned wine-producing region in central Chile, particularly famous for its high-quality red wines such as Carmenère, Cabernet Sauvignon, and Syrah.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e1121c08190a1d29fe594071c46 |
completed | April 29, 2026, 4:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3083cccc81908a149776c6986f1a |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 3:59 p.m.