Triple
T8811400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinadio |
E209671
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bagni di Vinadio
Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
|
E758053
|
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: Bagni di Vinadio | Statement: [Vinadio, hasPart, Bagni di Vinadio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagni di Vinadio Context triple: [Vinadio, hasPart, Bagni di Vinadio]
-
A.
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.
-
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.
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
D.
Montecatini Terme
Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
-
E.
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.
- 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: Bagni di Vinadio Triple: [Vinadio, hasPart, Bagni di Vinadio]
Generated description
Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagni di Vinadio Target entity description: Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
-
A.
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.
-
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.
Riolo Terme
Riolo Terme is a spa town in Italy’s Emilia-Romagna region, known for its thermal baths and medieval fortress.
-
D.
Montecatini Terme
Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
-
E.
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.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fed18f8819087b0282bf8c4208c |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fb26b148190b66b7138cdf9c97b |
completed | April 3, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69cf70c981808190856827fbcd4c4671 |
completed | April 3, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf71914ec48190bd623d8d773e7ca7 |
completed | April 3, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:45 p.m.