Triple
T12313153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanfins do Douro |
E293531
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Alijó |
E397310
|
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: Alijó | Statement: [Sanfins do Douro, partOf, Alijó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alijó Context triple: [Sanfins do Douro, partOf, Alijó]
-
A.
Alijó
chosen
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
-
B.
Alibunar
Alibunar is a town and municipality in northern Serbia, located in the autonomous province of Vojvodina.
-
C.
Aleibiri
Aleibiri is a community located in Ekeremor Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
-
D.
Azali
Azali is a critically acclaimed Ghanaian drama film that explores themes of human trafficking, survival, and resilience through the journey of a young girl from a rural village to the city.
-
E.
Alioto
Alioto is an Italian-origin surname notably associated with a prominent political family in San Francisco, including former mayor Joseph Alioto and civil rights attorney Angela Alioto.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.