Triple
T21379676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A24 motorway |
E527310
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | 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: Douro | Statement: [A24 motorway, regionServed, Douro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douro Context triple: [A24 motorway, regionServed, Douro]
-
A.
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.
-
B.
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.
-
C.
Rio Minho
Rio Minho is the longest river in Jamaica, flowing through the island’s central region before emptying into the Caribbean Sea.
-
D.
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.
-
E.
Linha do Vouga
Linha do Vouga is a narrow-gauge railway line in central Portugal known for its scenic route and historic rolling stock.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cc2b5c8190aa5f20f920523fe9 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.