Triple
T11390498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Syracuse |
E269822
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Floridia
Floridia is a town and comune in southeastern Sicily, Italy, known for its agricultural production and proximity to the city of Syracuse.
|
E923137
|
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: Floridia | Statement: [Province of Syracuse, contains, Floridia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floridia Context triple: [Province of Syracuse, contains, Floridia]
-
A.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
-
B.
Albia Dominica
Albia Dominica was a Roman empress of the 4th century, known primarily as the wife of Emperor Valens and for her influence at the imperial court.
-
C.
Stranvaesia
Stranvaesia is a genus of flowering shrubs and small trees in the rose family, known for their ornamental foliage and clusters of small white flowers followed by colorful berries.
-
D.
Isola
Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
-
E.
Caldonia
"Caldonia" is a 1945 jump blues song by Louis Jordan, celebrated as one of his signature hits and a classic of early rhythm and blues.
- 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: Floridia Triple: [Province of Syracuse, contains, Floridia]
Generated description
Floridia is a town and comune in southeastern Sicily, Italy, known for its agricultural production and proximity to the city of Syracuse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Floridia Target entity description: Floridia is a town and comune in southeastern Sicily, Italy, known for its agricultural production and proximity to the city of Syracuse.
-
A.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
-
B.
Albia Dominica
Albia Dominica was a Roman empress of the 4th century, known primarily as the wife of Emperor Valens and for her influence at the imperial court.
-
C.
Stranvaesia
Stranvaesia is a genus of flowering shrubs and small trees in the rose family, known for their ornamental foliage and clusters of small white flowers followed by colorful berries.
-
D.
Isola
Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
-
E.
Caldonia
"Caldonia" is a 1945 jump blues song by Louis Jordan, celebrated as one of his signature hits and a classic of early rhythm and blues.
- 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_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.