Triple
T22114306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corso Canalgrande, Modena |
E546497
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Palazzo Bellentani
Palazzo Bellentani is a historic aristocratic palace in Modena, Italy, noted for its elegant architecture along Corso Canalgrande.
|
E1533377
|
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: Palazzo Bellentani | Statement: [Corso Canalgrande, Modena, hasPart, Palazzo Bellentani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palazzo Bellentani Context triple: [Corso Canalgrande, Modena, hasPart, Palazzo Bellentani]
-
A.
Palazzo Belenzani
Palazzo Belenzani is a historic Renaissance palace in Trento, Italy, noted for its elegant façade and richly frescoed exterior.
-
B.
Palazzo Brentani
Palazzo Brentani is a historic neoclassical palace located on Piazza della Scala in central Milan, Italy.
-
C.
Palazzo Baracchini
Palazzo Baracchini is a historic government building in Rome that serves as the seat of Italy’s Ministry of Defence.
-
D.
Palazzo Castellani
Palazzo Castellani is a historic palace in Florence, Italy, notable for housing the Museo Galileo and reflecting medieval Florentine architecture.
-
E.
Palazzo Boschetti
Palazzo Boschetti is a historic aristocratic palace in Modena, Italy, noted for its elegant architecture along Corso Canalgrande.
- 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: Palazzo Bellentani Triple: [Corso Canalgrande, Modena, hasPart, Palazzo Bellentani]
Generated description
Palazzo Bellentani is a historic aristocratic palace in Modena, Italy, noted for its elegant architecture along Corso Canalgrande.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palazzo Bellentani Target entity description: Palazzo Bellentani is a historic aristocratic palace in Modena, Italy, noted for its elegant architecture along Corso Canalgrande.
-
A.
Palazzo Belenzani
Palazzo Belenzani is a historic Renaissance palace in Trento, Italy, noted for its elegant façade and richly frescoed exterior.
-
B.
Palazzo Brentani
Palazzo Brentani is a historic neoclassical palace located on Piazza della Scala in central Milan, Italy.
-
C.
Palazzo Baracchini
Palazzo Baracchini is a historic government building in Rome that serves as the seat of Italy’s Ministry of Defence.
-
D.
Palazzo Castellani
Palazzo Castellani is a historic palace in Florence, Italy, notable for housing the Museo Galileo and reflecting medieval Florentine architecture.
-
E.
Palazzo Boschetti
chosen
Palazzo Boschetti is a historic aristocratic palace in Modena, Italy, noted for its elegant architecture along Corso Canalgrande.
- F. None of above.
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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294c5f908190bdb1cce3cbf86d85 |
completed | April 28, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0c93f608190bad457a860e122be |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af20dd3c88190a059ede31daa9c6d |
completed | May 18, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:31 p.m.