Triple
T13766206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ascoli Piceno |
E330748
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Acquasanta Terme
Acquasanta Terme is an Italian spa town in the Marche region, known for its thermal springs and scenic location in the Apennine mountains.
|
E1058617
|
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: Acquasanta Terme | Statement: [Province of Ascoli Piceno, contains, Acquasanta Terme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acquasanta Terme Context triple: [Province of Ascoli Piceno, contains, Acquasanta Terme]
-
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.
Rapolano Terme
Rapolano Terme is a Tuscan town in central Italy renowned for its thermal baths and scenic countryside.
-
C.
Recoaro Terme
Recoaro Terme is an Italian spa town in the Veneto region, renowned for its mineral springs and scenic Alpine surroundings.
-
D.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
E.
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.
- 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: Acquasanta Terme Triple: [Province of Ascoli Piceno, contains, Acquasanta Terme]
Generated description
Acquasanta Terme is an Italian spa town in the Marche region, known for its thermal springs and scenic location in the Apennine mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acquasanta Terme Target entity description: Acquasanta Terme is an Italian spa town in the Marche region, known for its thermal springs and scenic location in the Apennine mountains.
-
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.
Rapolano Terme
Rapolano Terme is a Tuscan town in central Italy renowned for its thermal baths and scenic countryside.
-
C.
Recoaro Terme
Recoaro Terme is an Italian spa town in the Veneto region, renowned for its mineral springs and scenic Alpine surroundings.
-
D.
Casamicciola Terme
Casamicciola Terme is a spa town on the Italian island of Ischia, known for its thermal springs and seaside tourism.
-
E.
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.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a864c0ac81909e5fcd134ea66414 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a94390988190bcaedcda0b691fbb |
completed | May 3, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a9fe250c8190b66062e7fcea8d86 |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 10:10 p.m.