Triple
T23285084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verzasca Dam |
E588963
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Lombardi & Gellera
Lombardi & Gellera is an engineering and design firm known for its work on major infrastructure projects, including the iconic Verzasca Dam in Switzerland.
|
E1578522
|
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: Lombardi & Gellera | Statement: [Verzasca Dam, designedBy, Lombardi & Gellera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lombardi & Gellera Context triple: [Verzasca Dam, designedBy, Lombardi & Gellera]
-
A.
Garouste and Bonetti
Garouste and Bonetti is a French design duo known for their imaginative, art-inspired furniture and interior design work.
-
B.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
C.
Giannini
Giannini is an Italian surname most famously associated with Amadeo P. Giannini, the pioneering founder of Bank of America.
-
D.
Fazio
Fazio is a surname most notably associated with Tom Fazio, a prominent American golf course architect.
-
E.
Marchetti
Marchetti is an Italian surname borne by various notable figures in sports, arts, and public life.
- 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: Lombardi & Gellera Triple: [Verzasca Dam, designedBy, Lombardi & Gellera]
Generated description
Lombardi & Gellera is an engineering and design firm known for its work on major infrastructure projects, including the iconic Verzasca Dam in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lombardi & Gellera Target entity description: Lombardi & Gellera is an engineering and design firm known for its work on major infrastructure projects, including the iconic Verzasca Dam in Switzerland.
-
A.
Garouste and Bonetti
Garouste and Bonetti is a French design duo known for their imaginative, art-inspired furniture and interior design work.
-
B.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
C.
Giannini
Giannini is an Italian surname most famously associated with Amadeo P. Giannini, the pioneering founder of Bank of America.
-
D.
Fazio
Fazio is a surname most notably associated with Tom Fazio, a prominent American golf course architect.
-
E.
Marchetti
Marchetti is an Italian surname borne by various notable figures in sports, arts, and public life.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964600888190b40ecbefdc8aec64 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f813f248190b56ed6a7fc074989 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c405ca9e081908adeedd69acb8ed2 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c443c4540819096f1a41d9c24a706 |
completed | May 19, 2026, 11:06 a.m. |
Created at: April 17, 2026, 4:59 p.m.