Triple
T12434976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Urquiola |
E297120
|
entity |
| Predicate | hasDesignedFor |
P9494
|
FINISHED |
| Object |
Mutina
Mutina is an Italian design company renowned for its innovative, high-end ceramic tiles created in collaboration with leading international designers.
|
E980645
|
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: Mutina | Statement: [Patricia Urquiola, hasDesignedFor, Mutina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutina Context triple: [Patricia Urquiola, hasDesignedFor, Mutina]
-
A.
Mutina
Mutina was an important ancient Roman city in northern Italy, known today as Modena.
-
B.
Maiolus
Maiolus was a 10th-century Benedictine monk and influential abbot of Cluny, known for his role in monastic reform across medieval Europe.
-
C.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
D.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
-
E.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
- 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: Mutina Triple: [Patricia Urquiola, hasDesignedFor, Mutina]
Generated description
Mutina is an Italian design company renowned for its innovative, high-end ceramic tiles created in collaboration with leading international designers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mutina Target entity description: Mutina is an Italian design company renowned for its innovative, high-end ceramic tiles created in collaboration with leading international designers.
-
A.
Mutina
Mutina was an important ancient Roman city in northern Italy, known today as Modena.
-
B.
Maiolus
Maiolus was a 10th-century Benedictine monk and influential abbot of Cluny, known for his role in monastic reform across medieval Europe.
-
C.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
D.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
-
E.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349f0f34819080e7d7f83f7baece |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f6359a52b4819096c3f520a5714b0a |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63693f5c881909a9683a0c6a68739 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.