Triple
T10509429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Iseo |
E247871
|
entity |
| Predicate | isAlsoKnownAs |
P39
|
FINISHED |
| Object |
Sebino
Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
|
E868027
|
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: Sebino | Statement: [Lake Iseo, isAlsoKnownAs, Sebino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebino Context triple: [Lake Iseo, isAlsoKnownAs, Sebino]
-
A.
Crispiano
Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
-
B.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
-
C.
Biagio
Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Martino
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
- 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: Sebino Triple: [Lake Iseo, isAlsoKnownAs, Sebino]
Generated description
Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sebino Target entity description: Sebino is the Italian name for Lake Iseo, a picturesque glacial lake in northern Italy known for its scenic beauty and surrounding wine region.
-
A.
Crispiano
Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
-
B.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
-
C.
Biagio
Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Martino
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b359ac8190b3683cc6b9c70a71 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcee1db081908c791867e2438d30 |
completed | April 10, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d8e8ca94508190a2a6beca7f01fbd8 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9020bce488190b78e555cdd5caec4 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:27 p.m.