Triple
T6618771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomites |
E149621
|
entity |
| Predicate | notablePass |
P22502
|
FINISHED |
| Object |
Passo Gardena
Passo Gardena is a high mountain pass in Italy’s Dolomites, renowned for its dramatic alpine scenery and popularity among hikers, cyclists, and skiers.
|
E601128
|
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 Gardena | Statement: [Dolomites, notablePass, Passo Gardena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passo Gardena Context triple: [Dolomites, notablePass, Passo Gardena]
-
A.
Borgaretto
Borgaretto is a locality in northern Italy that hosts industrial facilities, including operations of the aerospace company Avio Aero.
-
B.
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
-
C.
Gambettola
Gambettola is a small town and comune in Italy’s Emilia-Romagna region, known for its traditional carnival floats and craftsmanship.
-
D.
Serrara Fontana
Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
-
E.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
- 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 Gardena Triple: [Dolomites, notablePass, Passo Gardena]
Generated description
Passo Gardena is a high mountain pass in Italy’s Dolomites, renowned for its dramatic alpine scenery and popularity among hikers, cyclists, and skiers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Passo Gardena Target entity description: Passo Gardena is a high mountain pass in Italy’s Dolomites, renowned for its dramatic alpine scenery and popularity among hikers, cyclists, and skiers.
-
A.
Borgaretto
Borgaretto is a locality in northern Italy that hosts industrial facilities, including operations of the aerospace company Avio Aero.
-
B.
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
-
C.
Gambettola
Gambettola is a small town and comune in Italy’s Emilia-Romagna region, known for its traditional carnival floats and craftsmanship.
-
D.
Serrara Fontana
Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
-
E.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
- 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_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.