Triple
T21291601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrazeda de Ansiães |
E524804
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | River Douro |
—
|
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: River Douro | Statement: [Carrazeda de Ansiães, locatedNear, River Douro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Douro Context triple: [Carrazeda de Ansiães, locatedNear, River Douro]
-
A.
Rio Minho
Rio Minho is the longest river in Jamaica, flowing through the island’s central region before emptying into the Caribbean Sea.
-
B.
Douro River
chosen
The Douro River is one of the major rivers of the Iberian Peninsula, flowing from northern Spain through Portugal to the Atlantic Ocean and famed for the terraced vineyards of the Port wine region along its banks.
-
C.
Foz do Douro
Foz do Douro is a coastal district of Porto, Portugal, known for its beaches, seaside promenade, and upscale residential character at the mouth of the Douro River.
-
D.
Rio Dão
Rio Dão is the Portuguese name for the Dão River, a watercourse in central Portugal known for flowing through the Dão wine region.
-
E.
Alto Tâmega
Alto Tâmega is an inland subregion of northern Portugal known for its mountainous landscapes, thermal springs, and traditional rural communities.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.