Triple
T12094600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertinoro |
E288038
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object |
Fratta Terme
Fratta Terme is a spa village in the Emilia-Romagna region of Italy, known for its thermal baths and wellness tourism.
|
E970035
|
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: Fratta Terme | Statement: [Bertinoro, hasFrazione, Fratta Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fratta Terme Context triple: [Bertinoro, hasFrazione, Fratta Terme]
-
A.
Porretta Terme
Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
-
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.
Caramanico Terme
Caramanico Terme is an Italian spa town in the Abruzzo region, renowned for its thermal baths and location within the Majella National Park.
-
D.
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
E.
Rapolano Terme
Rapolano Terme is a Tuscan town in central Italy renowned for its thermal baths and scenic countryside.
- 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: Fratta Terme Triple: [Bertinoro, hasFrazione, Fratta Terme]
Generated description
Fratta Terme is a spa village in the Emilia-Romagna region of Italy, known for its thermal baths and wellness tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fratta Terme Target entity description: Fratta Terme is a spa village in the Emilia-Romagna region of Italy, known for its thermal baths and wellness tourism.
-
A.
Porretta Terme
Porretta Terme is an Italian spa town in the Apennine mountains of Emilia-Romagna, renowned for its thermal springs and historic wellness tourism.
-
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.
Caramanico Terme
Caramanico Terme is an Italian spa town in the Abruzzo region, renowned for its thermal baths and location within the Majella National Park.
-
D.
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
E.
Rapolano Terme
Rapolano Terme is a Tuscan town in central Italy renowned for its thermal baths and scenic countryside.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60d434b68819080808f5c80220c9f |
completed | May 2, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60dc353ac819082cb866f2b81555b |
completed | May 2, 2026, 2:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.