Triple
T6253630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ravenna |
E140106
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
|
E580130
|
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: Riolo Terme | Statement: [Province of Ravenna, contains, Riolo Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riolo Terme Context triple: [Province of Ravenna, contains, Riolo Terme]
-
A.
Abano Terme
Abano Terme is a renowned spa town in northeastern Italy famous for its hot springs and therapeutic mud treatments.
-
B.
Montegrotto Terme
Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
-
C.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
D.
Montecatini Terme
Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
-
E.
Serrara Fontana
Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
- 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: Riolo Terme Triple: [Province of Ravenna, contains, Riolo Terme]
Generated description
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riolo Terme Target entity description: Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
A.
Abano Terme
Abano Terme is a renowned spa town in northeastern Italy famous for its hot springs and therapeutic mud treatments.
-
B.
Montegrotto Terme
Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
-
C.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
D.
Montecatini Terme
Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
-
E.
Serrara Fontana
Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063625608819081f5422112c80ce5 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2442a556081908b91e7d999a82514 |
completed | March 24, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c4fb6ab25081909bce29ecee57cb42 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc5c18088190ba2ee0d182d7f3c2 |
completed | March 26, 2026, 9:29 a.m. |
Created at: March 22, 2026, 4:24 p.m.