Triple
T4909774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maserati Levante |
E110202
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
Levante S
Levante S is a higher-performance, more powerful trim of the Maserati Levante luxury SUV.
|
E479445
|
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: Levante S | Statement: [Maserati Levante, trimLevel, Levante S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levante S Context triple: [Maserati Levante, trimLevel, Levante S]
-
A.
Levante UD
Levante UD is a professional football club based in Valencia, Spain, known for competing in La Liga and being one of the country’s historic teams.
-
B.
Levante
Levante is a Spanish professional football club based in Valencia that competes in the country’s football league system.
-
C.
Levante
Levante is a strong, warm easterly wind that blows across the Strait of Gibraltar and southern Spain, often bringing dry conditions and rough seas.
-
D.
Lleida Esportiu
Lleida Esportiu is a Spanish football club based in the city of Lleida, Catalonia, competing in the lower divisions of the national league system.
-
E.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
- 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: Levante S Triple: [Maserati Levante, trimLevel, Levante S]
Generated description
Levante S is a higher-performance, more powerful trim of the Maserati Levante luxury SUV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levante S Target entity description: Levante S is a higher-performance, more powerful trim of the Maserati Levante luxury SUV.
-
A.
Levante UD
Levante UD is a professional football club based in Valencia, Spain, known for competing in La Liga and being one of the country’s historic teams.
-
B.
Levante
Levante is a Spanish professional football club based in Valencia that competes in the country’s football league system.
-
C.
Levante
Levante is a strong, warm easterly wind that blows across the Strait of Gibraltar and southern Spain, often bringing dry conditions and rough seas.
-
D.
Lleida Esportiu
Lleida Esportiu is a Spanish football club based in the city of Lleida, Catalonia, competing in the lower divisions of the national league system.
-
E.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e99414081908c3d3283f563bba4 |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe43a888190ab1b150da0f49203 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be72027b40819086fb972d18b0e43b |
completed | March 21, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be724d258481908e33796aabdb32f2 |
completed | March 21, 2026, 10:26 a.m. |
Created at: March 20, 2026, 1:29 p.m.