Triple
T5537580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Taranto |
E145202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Carosino
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
|
E535903
|
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: Carosino | Statement: [Province of Taranto, contains, Carosino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carosino Context triple: [Province of Taranto, contains, Carosino]
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
C.
Dolcè
Dolcè is a small municipality in the Province of Verona in Italy’s Veneto region, known for its scenic location in the Adige Valley near Lake Garda.
-
D.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
E.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
- 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: Carosino Triple: [Province of Taranto, contains, Carosino]
Generated description
Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carosino Target entity description: Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
C.
Dolcè
Dolcè is a small municipality in the Province of Verona in Italy’s Veneto region, known for its scenic location in the Adige Valley near Lake Garda.
-
D.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
E.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb19cb8819088b21e8ebef63d8b |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04ce6a3bc8190958b9356bb788d72 |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:34 p.m.