Triple
T22348755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Baltea |
E552469
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Chiusella
Chiusella is a mountain stream in northwestern Italy that flows through the Piedmont region before joining the Dora Baltea river.
|
E1532706
|
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: Chiusella | Statement: [Dora Baltea, hasTributary, Chiusella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiusella Context triple: [Dora Baltea, hasTributary, Chiusella]
-
A.
Caltabellotta
Caltabellotta is a historic hilltop town in Sicily, Italy, known for its medieval architecture and strategic location overlooking the surrounding valleys.
-
B.
Sassello
Sassello is a small historic town in the Liguria region of northwestern Italy, known for its scenic Apennine setting and traditional amaretti biscuits.
-
C.
Guarcino
Guarcino is a small historic town in the Lazio region of central Italy, situated in the traditional area known as Ciociaria.
-
D.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
-
E.
Cornizzolo
Cornizzolo is a mountain in the Lombardy region of northern Italy, popular for hiking, paragliding, and panoramic views over the surrounding lakes and Alps.
- 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: Chiusella Triple: [Dora Baltea, hasTributary, Chiusella]
Generated description
Chiusella is a mountain stream in northwestern Italy that flows through the Piedmont region before joining the Dora Baltea river.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiusella Target entity description: Chiusella is a mountain stream in northwestern Italy that flows through the Piedmont region before joining the Dora Baltea river.
-
A.
Caltabellotta
Caltabellotta is a historic hilltop town in Sicily, Italy, known for its medieval architecture and strategic location overlooking the surrounding valleys.
-
B.
Sassello
Sassello is a small historic town in the Liguria region of northwestern Italy, known for its scenic Apennine setting and traditional amaretti biscuits.
-
C.
Guarcino
Guarcino is a small historic town in the Lazio region of central Italy, situated in the traditional area known as Ciociaria.
-
D.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
-
E.
Cornizzolo
Cornizzolo is a mountain in the Lombardy region of northern Italy, popular for hiking, paragliding, and panoramic views over the surrounding lakes and Alps.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae05844948190b13a0e927f2a1c1f |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae2e2883c81908a6fea37f8db7f1a |
completed | May 18, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae3855838819080bf6883946b62f7 |
completed | May 18, 2026, 10:01 a.m. |
Created at: April 16, 2026, 8:43 p.m.