Triple
T16883460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chianciano Terme |
E421478
|
entity |
| Predicate | hasThermalSpring |
P32542
|
FINISHED |
| Object |
Acqua Fucoli
Acqua Fucoli is a mineral-rich thermal spring water from Chianciano Terme in Tuscany, Italy, traditionally used for its digestive and therapeutic properties.
|
E1238926
|
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: Acqua Fucoli | Statement: [Chianciano Terme, hasThermalSpring, Acqua Fucoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acqua Fucoli Context triple: [Chianciano Terme, hasThermalSpring, Acqua Fucoli]
-
A.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
B.
Giglioli
Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
-
C.
Fusco
Fusco is a character in the crime drama film "Dinner Rush," involved in the tense, interwoven events surrounding a New York City restaurant.
-
D.
Paoletti
Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
-
E.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
- 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: Acqua Fucoli Triple: [Chianciano Terme, hasThermalSpring, Acqua Fucoli]
Generated description
Acqua Fucoli is a mineral-rich thermal spring water from Chianciano Terme in Tuscany, Italy, traditionally used for its digestive and therapeutic properties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acqua Fucoli Target entity description: Acqua Fucoli is a mineral-rich thermal spring water from Chianciano Terme in Tuscany, Italy, traditionally used for its digestive and therapeutic properties.
-
A.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
B.
Giglioli
Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
-
C.
Fusco
Fusco is a character in the crime drama film "Dinner Rush," involved in the tense, interwoven events surrounding a New York City restaurant.
-
D.
Paoletti
Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
-
E.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbbf0cec819084216807601afad1 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2baece88190ad9821219dff7e27 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3719c88819080279147f9bc415e |
completed | May 10, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c4850dec819085ae8b51c94c11e7 |
completed | May 10, 2026, 5:46 p.m. |
Created at: April 10, 2026, 5:29 a.m.