Triple
T11390502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Syracuse |
E269822
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rosolini
Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
|
E925842
|
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: Rosolini | Statement: [Province of Syracuse, contains, Rosolini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosolini Context triple: [Province of Syracuse, contains, Rosolini]
-
A.
Diano Marina
Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
B.
Poggiomarino
Poggiomarino is a town in the Metropolitan City of Naples in southern Italy, located near Mount Vesuvius in the Campania region.
-
C.
Follonica
Follonica is a coastal town and popular seaside resort in Tuscany, Italy, known for its sandy beaches along the Tyrrhenian Sea.
-
D.
Corato
Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
-
E.
Amalfi
Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
- 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: Rosolini Triple: [Province of Syracuse, contains, Rosolini]
Generated description
Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosolini Target entity description: Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
-
A.
Diano Marina
Diano Marina is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
B.
Poggiomarino
Poggiomarino is a town in the Metropolitan City of Naples in southern Italy, located near Mount Vesuvius in the Campania region.
-
C.
Follonica
Follonica is a coastal town and popular seaside resort in Tuscany, Italy, known for its sandy beaches along the Tyrrhenian Sea.
-
D.
Corato
Corato is a historic town in the Apulia region of southern Italy, known for its olive oil production and traditional architecture.
-
E.
Amalfi
Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d33ad50c8190982b00aab09098a1 |
completed | April 20, 2026, 7:18 a.m. |
| NEDg | Description generation | batch_69e5d5cac9108190b7756329bfa320d3 |
completed | April 20, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d7f238cc8190a1c2dd26bdc5ff77 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:34 p.m.