Triple
T10986691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moltrasio |
E259647
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Brienno
Brienno is a small, picturesque village on the western shore of Lake Como in northern Italy, known for its historic stone houses and scenic lakeside setting.
|
E898238
|
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: Brienno | Statement: [Moltrasio, locatedNear, Brienno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brienno Context triple: [Moltrasio, locatedNear, Brienno]
-
A.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
B.
Caldogno
Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
-
C.
Pandino
Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
-
D.
Caldiero
Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
-
E.
Oderzo
Oderzo is a historic town in northeastern Italy known for its ancient Roman origins and archaeological heritage.
- 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: Brienno Triple: [Moltrasio, locatedNear, Brienno]
Generated description
Brienno is a small, picturesque village on the western shore of Lake Como in northern Italy, known for its historic stone houses and scenic lakeside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brienno Target entity description: Brienno is a small, picturesque village on the western shore of Lake Como in northern Italy, known for its historic stone houses and scenic lakeside setting.
-
A.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
B.
Caldogno
Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
-
C.
Pandino
Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
-
D.
Caldiero
Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
-
E.
Oderzo
Oderzo is a historic town in northeastern Italy known for its ancient Roman origins and archaeological heritage.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b3c8388190be77e95d56979a7f |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344e9c66c81909163cea6aa9276e0 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.