Triple
T22039187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariñena |
E544294
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Samso |
—
|
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: Samso | Statement: [Cariñena, alsoKnownAs, Samso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samso Context triple: [Cariñena, alsoKnownAs, Samso]
-
A.
Samsø
chosen
Samsø is a Danish island in the Kattegat Sea known for its pioneering use of renewable energy and sustainable community initiatives.
-
B.
Lastovo
Lastovo is a remote Croatian island in the Adriatic Sea, known for its unspoiled nature, dense forests, and traditional stone villages.
-
C.
Gotland
Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
-
D.
Särna
Särna is a small locality in northern Dalarna County, Sweden, known for its forested surroundings and outdoor recreation opportunities.
-
E.
Mandø
Mandø is a small Danish island in the Wadden Sea, known for its tidal causeway access, rich birdlife, and traditional marshland landscapes.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.