Triple
T22710442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bologna |
E561576
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Porretta Terme |
—
|
NE NERFINISHED |
How this triple was built (2 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: Porretta Terme | Statement: [Province of Bologna, contains, Porretta Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porretta Terme Context triple: [Province of Bologna, contains, Porretta Terme]
-
A.
Porretta Terme
chosen
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.
Fratta Terme
Fratta Terme is a spa village in the Emilia-Romagna region of Italy, known for its thermal baths and wellness tourism.
-
D.
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.
-
E.
Gambassi Terme
Gambassi Terme is a Tuscan town in central Italy known for its thermal baths, medieval heritage, and location along historic pilgrimage routes such as the Via Francigena.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17907d7288190bb53f76974f95cef |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:17 p.m.