Triple
T9640703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pistoia |
E233056
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Monsummano Terme
Monsummano Terme is an Italian spa town in Tuscany renowned for its thermal baths and natural grottoes.
|
E813203
|
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: Monsummano Terme | Statement: [Province of Pistoia, contains, Monsummano Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monsummano Terme Context triple: [Province of Pistoia, contains, Monsummano 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.
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.
-
C.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
D.
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.
-
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. 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: Monsummano Terme Triple: [Province of Pistoia, contains, Monsummano Terme]
Generated description
Monsummano Terme is an Italian spa town in Tuscany renowned for its thermal baths and natural grottoes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monsummano Terme Target entity description: Monsummano Terme is an Italian spa town in Tuscany renowned for its thermal baths and natural grottoes.
-
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.
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.
-
C.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
D.
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.
-
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. 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_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_69d189fd53fc8190bc36f2b8e0e21036 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18acf86588190bc000f701bcaaa1c |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18ba396cc8190a3ded2ac3968c553 |
completed | April 4, 2026, 10:07 p.m. |
Created at: March 30, 2026, 8:12 p.m.