Triple
T16559235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touriga Nacional |
E402292
|
entity |
| Predicate | usedInRegion |
P908
|
FINISHED |
| Object | Dão |
E1070254
|
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: Dão | Statement: [Touriga Nacional, usedInRegion, Dão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dão Context triple: [Touriga Nacional, usedInRegion, Dão]
-
A.
Covas do Douro
Covas do Douro is a civil parish in northern Portugal’s Douro Valley, known for its wine-producing landscape and inclusion in the municipality of Sabrosa.
-
B.
Dão-Lafões
chosen
Dão-Lafões is a subregion in central Portugal known for its mountainous landscapes, thermal spas, and production of Dão wines.
-
C.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
-
D.
Tâmega e Sousa
Tâmega e Sousa is an intermunicipal subregion in northern Portugal known for its mix of industrial towns, historic heritage, and rural landscapes along the Tâmega and Sousa rivers.
-
E.
Douro Superior
Douro Superior is the easternmost and driest subregion of Portugal’s Douro wine region, known for its rugged terrain and high-quality Port and table wines.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576cceb881908579b56d91b15dec |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0123257b908190819986393cb35748 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:15 a.m.