Triple
T3788771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Cortellazzo and Buccari |
E89592
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Cortellazzo
Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
|
E389393
|
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: Cortellazzo | Statement: [Countess of Cortellazzo and Buccari, namedAfter, Cortellazzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cortellazzo Context triple: [Countess of Cortellazzo and Buccari, namedAfter, Cortellazzo]
-
A.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
B.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
C.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
D.
Collegno
Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
-
E.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
- 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: Cortellazzo Triple: [Countess of Cortellazzo and Buccari, namedAfter, Cortellazzo]
Generated description
Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cortellazzo Target entity description: Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
-
A.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
B.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
C.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
D.
Collegno
Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
-
E.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05031cc8190825105f77dd76438 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f4f80f4c8190890dae6770d10d4d |
completed | March 14, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f55f53ec8190a5f9cf6d494e75dd |
completed | March 14, 2026, 5:42 a.m. |
Created at: March 9, 2026, 3:14 p.m.