Triple
T21068194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamperla |
E519031
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Altavilla Vicentina
Altavilla Vicentina is a town in the Veneto region of northern Italy, known as an industrial hub that hosts the headquarters of several manufacturing companies.
|
E1464939
|
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: Altavilla Vicentina | Statement: [Zamperla, headquartersLocation, Altavilla Vicentina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altavilla Vicentina Context triple: [Zamperla, headquartersLocation, Altavilla Vicentina]
-
A.
Bevagna
Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
-
B.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
C.
Montechiaro
Montechiaro is a small locality within the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
-
D.
San Vito
San Vito is a small town and comune in the Province of South Sardinia on the Italian island of Sardinia.
-
E.
Francavilla d’Ete
Francavilla d’Ete is a small Italian municipality in the Marche region, known for its rural character and traditional central Italian landscape.
- 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: Altavilla Vicentina Triple: [Zamperla, headquartersLocation, Altavilla Vicentina]
Generated description
Altavilla Vicentina is a town in the Veneto region of northern Italy, known as an industrial hub that hosts the headquarters of several manufacturing companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altavilla Vicentina Target entity description: Altavilla Vicentina is a town in the Veneto region of northern Italy, known as an industrial hub that hosts the headquarters of several manufacturing companies.
-
A.
Bevagna
Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
-
B.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
C.
Montechiaro
Montechiaro is a small locality within the municipality of Prato allo Stelvio in South Tyrol, northern Italy.
-
D.
San Vito
San Vito is a small town and comune in the Province of South Sardinia on the Italian island of Sardinia.
-
E.
Francavilla d’Ete
Francavilla d’Ete is a small Italian municipality in the Marche region, known for its rural character and traditional central Italian landscape.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb5772481909e32af3b3a69df76 |
completed | April 21, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09507392e4819088f52cde6c940b6d |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0952ec874081908ef381ebb49e230c |
completed | May 17, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09535799cc81908c78b99762c0b1a0 |
completed | May 17, 2026, 5:34 a.m. |
Created at: April 16, 2026, 2:45 p.m.