Triple
T16451915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regio IV Samnium |
E399571
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Frusino
Frusino was an ancient town of central Italy in the region of Samnium, known from Roman-era administrative geography.
|
E1213008
|
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: Frusino | Statement: [Regio IV Samnium, contains, Frusino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frusino Context triple: [Regio IV Samnium, contains, Frusino]
-
A.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
B.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
C.
Franchino
Franchino is the given name of Italian football legend Franco Baresi, widely regarded as one of the greatest defenders in the history of the sport.
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
- 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: Frusino Triple: [Regio IV Samnium, contains, Frusino]
Generated description
Frusino was an ancient town of central Italy in the region of Samnium, known from Roman-era administrative geography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frusino Target entity description: Frusino was an ancient town of central Italy in the region of Samnium, known from Roman-era administrative geography.
-
A.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
B.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
C.
Franchino
Franchino is the given name of Italian football legend Franco Baresi, widely regarded as one of the greatest defenders in the history of the sport.
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Silba
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004598ec088190be80ad70e3f1357e |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.