Triple
T10300796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Benevento |
E241620
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Melizzano
Melizzano is a small Italian municipality in the Campania region, known for its rural landscape and traditional southern Italian character.
|
E861002
|
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: Melizzano | Statement: [Province of Benevento, hasMunicipality, Melizzano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melizzano Context triple: [Province of Benevento, hasMunicipality, Melizzano]
-
A.
San Maurizio d’Opaglio
San Maurizio d’Opaglio is a small Italian town in the Piedmont region, known for its lakeside setting and faucet manufacturing industry.
-
B.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
C.
Bagnacavallo
Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
- 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: Melizzano Triple: [Province of Benevento, hasMunicipality, Melizzano]
Generated description
Melizzano is a small Italian municipality in the Campania region, known for its rural landscape and traditional southern Italian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melizzano Target entity description: Melizzano is a small Italian municipality in the Campania region, known for its rural landscape and traditional southern Italian character.
-
A.
San Maurizio d’Opaglio
San Maurizio d’Opaglio is a small Italian town in the Piedmont region, known for its lakeside setting and faucet manufacturing industry.
-
B.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
C.
Bagnacavallo
Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2eefe8881908a672c4dca7657ca |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb4f840c81909beaf910c1ac3751 |
completed | April 9, 2026, 7:17 p.m. |
| NEDg | Description generation | batch_69d81c40dc6081908cc186ee6cd0814e |
completed | April 9, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8277fbf0881908a1e16d6c07886e6 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 6, 2026, 11:44 a.m.