Triple
T21988848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tullio Regge |
E543031
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Città di Torino Prize
The Città di Torino Prize is an Italian award conferred by the city of Turin to honor individuals for outstanding contributions in their fields, particularly in science and culture.
|
E1512258
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Città di Torino Prize Context triple: [Tullio Regge, awardReceived, Città di Torino Prize]
-
A.
Premio Grinzane Cavour
The Premio Grinzane Cavour was a prestigious Italian literary prize that recognized notable works of contemporary fiction and promoted reading and literature, both in Italy and internationally.
-
B.
Prix Italia
Prix Italia is an international media competition and festival that honors outstanding achievements in radio, television, and digital programming.
-
C.
Nonino Prize
The Nonino Prize is an Italian literary and cultural award that honors distinguished figures in literature, science, and the arts for their contributions to humanistic and intellectual life.
-
D.
Campiello Prize
The Campiello Prize is a prestigious Italian literary award established in 1962 that honors outstanding works of contemporary Italian fiction.
-
E.
Abbiati Prize
The Abbiati Prize is a prestigious Italian music critics' award recognizing outstanding achievements in classical music performance and conducting.
- 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: Città di Torino Prize Triple: [Tullio Regge, awardReceived, Città di Torino Prize]
Generated description
The Città di Torino Prize is an Italian award conferred by the city of Turin to honor individuals for outstanding contributions in their fields, particularly in science and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Città di Torino Prize Target entity description: The Città di Torino Prize is an Italian award conferred by the city of Turin to honor individuals for outstanding contributions in their fields, particularly in science and culture.
-
A.
Premio Grinzane Cavour
The Premio Grinzane Cavour was a prestigious Italian literary prize that recognized notable works of contemporary fiction and promoted reading and literature, both in Italy and internationally.
-
B.
Prix Italia
Prix Italia is an international media competition and festival that honors outstanding achievements in radio, television, and digital programming.
-
C.
Nonino Prize
The Nonino Prize is an Italian literary and cultural award that honors distinguished figures in literature, science, and the arts for their contributions to humanistic and intellectual life.
-
D.
Campiello Prize
The Campiello Prize is a prestigious Italian literary award established in 1962 that honors outstanding works of contemporary Italian fiction.
-
E.
Abbiati Prize
The Abbiati Prize is a prestigious Italian music critics' award recognizing outstanding achievements in classical music performance and conducting.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:05 p.m.