Triple
T2359400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cernobbio |
E47235
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Madrona
Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
|
E263462
|
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: Madrona | Statement: [Cernobbio, hasSubdivision, Madrona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrona Context triple: [Cernobbio, hasSubdivision, Madrona]
-
A.
Palo Cedro
Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
-
B.
Yerba Buena
Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
-
C.
Yoncalla
Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
-
D.
Casnedo
Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
-
E.
Cidra
Cidra is a mountainous municipality in central Puerto Rico known for its cool climate and scenic lakes.
- 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: Madrona Triple: [Cernobbio, hasSubdivision, Madrona]
Generated description
Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madrona Target entity description: Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
-
A.
Palo Cedro
Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
-
B.
Yerba Buena
Yerba Buena is a cultural and entertainment district in downtown San Francisco known for its museums, gardens, convention center, and arts venues.
-
C.
Yoncalla
Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
-
D.
Casnedo
Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
-
E.
Cidra
Cidra is a mountainous municipality in central Puerto Rico known for its cool climate and scenic lakes.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc720b9048190a5d3b19e5e1f373a |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c37c448190b2d1fd5c404e0050 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb48dfbfc81908193c909315bd030 |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57af28c8190bfca30ad3e7ca8b3 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:55 p.m.