Triple
T9640701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pistoia |
E233056
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Montecatini Terme |
E427449
|
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: Montecatini Terme | Statement: [Province of Pistoia, contains, Montecatini Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montecatini Terme Context triple: [Province of Pistoia, contains, Montecatini Terme]
-
A.
Montecatini Terme
chosen
Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
-
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.
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.
Bagni di Vinadio
Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18248ffe4819095d4ea20951eca01 |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.