Triple
T35900312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duero wine region |
E1038334
|
entity |
| Predicate | riverNameInPortugal |
P185274
|
FINISHED |
| Object | Douro River |
—
|
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 River | Statement: [Duero wine region, riverNameInPortugal, Douro River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverNameInPortugal Context triple: [Duero wine region, riverNameInPortugal, Douro River]
-
A.
riverAlsoKnownAs
Indicates that a river has an alternative name or alias by which it is also known.
-
B.
riverNameInGreek
Indicates that a river is known or referred to by a specific name in the Greek language.
-
C.
majorPortOnRiver
Indicates that a port is a primary or significant harbor facility located on the banks of a specified river.
-
D.
riverSystemNameInRomanian
Indicates that a river system is referred to by a specific name in the Romanian language.
-
E.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
- F. None of above. chosen
Provenance (4 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.