Triple
T15554103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val di Fassa |
E370822
|
entity |
| Predicate | hasPass |
P11208
|
FINISHED |
| Object | Passo Costalunga |
E1153173
|
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: Passo Costalunga | Statement: [Val di Fassa, hasPass, Passo Costalunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passo Costalunga Context triple: [Val di Fassa, hasPass, Passo Costalunga]
-
A.
Passo Campolongo
Passo Campolongo is a high mountain pass in the Italian Dolomites, popular with cyclists and skiers for its scenic route connecting the valleys of Arabba and Corvara.
-
B.
Costalunga Pass
chosen
Costalunga Pass is a picturesque high mountain pass in the Dolomites of northern Italy, known for its panoramic alpine views and popular hiking and skiing routes.
-
C.
Montagnana
Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
-
D.
Valnerina
Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
-
E.
Passo Gavia
Passo Gavia is a high mountain pass in the Italian Alps renowned among cyclists for its challenging gradients and frequent inclusion in major professional races.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.