Triple
T7383623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Belluno |
E170324
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Feltrino
Feltrino is a locality in the Province of Belluno in Italy, situated within the mountainous Veneto region of the northeastern Italian Alps.
|
E661703
|
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: Feltrino | Statement: [Province of Belluno, contains, Feltrino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feltrino Context triple: [Province of Belluno, contains, Feltrino]
-
A.
Fanzolo
Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
-
B.
Lizzano
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
-
C.
Verduno
Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
-
D.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
E.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
- 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: Feltrino Triple: [Province of Belluno, contains, Feltrino]
Generated description
Feltrino is a locality in the Province of Belluno in Italy, situated within the mountainous Veneto region of the northeastern Italian Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feltrino Target entity description: Feltrino is a locality in the Province of Belluno in Italy, situated within the mountainous Veneto region of the northeastern Italian Alps.
-
A.
Fanzolo
Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
-
B.
Lizzano
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
-
C.
Verduno
Verduno is a small village in Italy’s Piedmont region renowned as one of the historic communes producing Barolo wine.
-
D.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
E.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1cb0b8881908132383c0efb0503 |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810e879e88190a421409194868587 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c812025d28819081a9ea44b7036e8b |
completed | March 28, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8125baee8819084a4008c791d7431 |
completed | March 28, 2026, 5:39 p.m. |
Created at: March 27, 2026, 3:08 p.m.