Triple
T22514832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedmont railway network |
E556613
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Acqui 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: Acqui Terme | Statement: [Piedmont railway network, connectsCity, Acqui Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acqui Terme Context triple: [Piedmont railway network, connectsCity, Acqui Terme]
-
A.
Acqui Terme
chosen
Acqui Terme is a historic spa town in Italy’s Piedmont region, renowned for its thermal springs and Roman archaeological remains.
-
B.
San Giuliano Terme
San Giuliano Terme is an Italian town in Tuscany known for its historic thermal baths and proximity to the city of Pisa.
-
C.
Minturno
Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
-
D.
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.
-
E.
Sulmona
Sulmona is a historic town in Italy’s Abruzzo region, renowned as the birthplace of the poet Ovid and for its traditional confetti (sugar-coated almonds).
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2c3098819098a553133cc9515b |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.