Triple
T7551129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacchiglione River |
E178535
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Abano Terme |
E207205
|
NE FINISHED |
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: Abano Terme | Statement: [Bacchiglione River, flowsThrough, Abano Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abano Terme Context triple: [Bacchiglione River, flowsThrough, Abano Terme]
-
A.
Abano Terme
chosen
Abano Terme is a renowned spa town in northeastern Italy famous for its hot springs and therapeutic mud treatments.
-
B.
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
C.
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.
-
D.
Cesenatico
Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b50e5c8190817c1e968294d1ad |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f33c968819089fd0a2b07b076a3 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.