Triple
T6792776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbano-Cusio-Ossola |
E155972
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Malesco
Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
|
E619937
|
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: Malesco | Statement: [Verbano-Cusio-Ossola, contains, Malesco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malesco Context triple: [Verbano-Cusio-Ossola, contains, Malesco]
-
A.
Malco
Malco is the surname of Romany Malco, an American actor and music producer known for roles in films like "The 40-Year-Old Virgin" and the series "A Million Little Things."
-
B.
Betano
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
-
C.
Macadoshis
Macadoshis is a rapper best known as a member of the hip hop collective Thug Life formed by Tupac Shakur.
-
D.
Tosnacco
Tosnacco is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
-
E.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
- 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: Malesco Triple: [Verbano-Cusio-Ossola, contains, Malesco]
Generated description
Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malesco Target entity description: Malesco is a small municipality in the Piedmont region of northern Italy, located in the mountainous Verbano-Cusio-Ossola province near the Swiss border.
-
A.
Malco
Malco is the surname of Romany Malco, an American actor and music producer known for roles in films like "The 40-Year-Old Virgin" and the series "A Million Little Things."
-
B.
Betano
Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
-
C.
Macadoshis
Macadoshis is a rapper best known as a member of the hip hop collective Thug Life formed by Tupac Shakur.
-
D.
Tosnacco
Tosnacco is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
-
E.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8eaefc819098e848b3012da749 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71ba85f608190b372a4dfe2cdc31c |
completed | March 28, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c91e08c81908be81efc2087464a |
completed | March 28, 2026, 12:10 a.m. |
Created at: March 27, 2026, 2:15 p.m.