Triple
T6618772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomites |
E149621
|
entity |
| Predicate | notablePass |
P22502
|
FINISHED |
| Object |
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.
|
E608474
|
NE FINISHED |
How this triple was built (4 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 Campolongo | Statement: [Dolomites, notablePass, Passo Campolongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passo Campolongo Context triple: [Dolomites, notablePass, Passo Campolongo]
-
A.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
-
B.
Colle di Nava
Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
-
C.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
-
D.
Arzerello
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
E.
Colle di Tora
Colle di Tora is a small Italian town in the Lazio region, known for its scenic position on the shores of Lake Turano.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Passo Campolongo Triple: [Dolomites, notablePass, Passo Campolongo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Passo Campolongo Target entity description: 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.
-
A.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
-
B.
Colle di Nava
Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
-
C.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
-
D.
Arzerello
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
E.
Colle di Tora
Colle di Tora is a small Italian town in the Lazio region, known for its scenic position on the shores of Lake Turano.
- F. None of above. chosen
Provenance (5 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee61df88190b3772e4756670b8f |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f09ffdd481909418ae33d1683486 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f159cbf08190a22d7488584b4580 |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 1:58 p.m.