Triple
T20159114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberammergau |
E491655
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Cavalese |
—
|
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: Cavalese | Statement: [Oberammergau, hasTwinTown, Cavalese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavalese Context triple: [Oberammergau, hasTwinTown, Cavalese]
-
A.
Cavalese
chosen
Cavalese is a picturesque alpine town in northern Italy’s Trentino region, known as a gateway to the Dolomites and a popular destination for skiing and mountain tourism.
-
B.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
C.
Cavallasca
Cavallasca is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
-
D.
Trasmiera
Trasmiera is a historic coastal region in eastern Cantabria, northern Spain, known for its rural landscapes, traditional architecture, and maritime heritage.
-
E.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.