Triple
T19231807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garessio |
E480889
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Garessio |
—
|
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: Garessio | Statement: [Garessio, hasNativeName, Garessio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garessio Context triple: [Garessio, hasNativeName, Garessio]
-
A.
Garessio
chosen
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
-
B.
Gemmano
Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
-
C.
Girolata
Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
-
D.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
E.
Lazzara
Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9db56081908f50d318d7fc9eaa |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:25 p.m.