Triple
T3274926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Rieti |
E68735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Montenero Sabino
Montenero Sabino is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
|
E344571
|
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: Montenero Sabino | Statement: [Province of Rieti, contains, Montenero Sabino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montenero Sabino Context triple: [Province of Rieti, contains, Montenero Sabino]
-
A.
Carvallo
Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
-
B.
Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
-
C.
Caprile
Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
-
D.
Al Cervi
Al Cervi was an American professional basketball player and coach, best known as a Hall of Fame guard and pioneering figure in early pro basketball during the 1940s and 1950s.
-
E.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
- 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: Montenero Sabino Triple: [Province of Rieti, contains, Montenero Sabino]
Generated description
Montenero Sabino is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montenero Sabino Target entity description: Montenero Sabino is a small Italian municipality in the Lazio region, known for its historic hilltop setting and traditional rural character.
-
A.
Carvallo
Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
-
B.
Canino
Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
-
C.
Caprile
Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
-
D.
Al Cervi
Al Cervi was an American professional basketball player and coach, best known as a Hall of Fame guard and pioneering figure in early pro basketball during the 1940s and 1950s.
-
E.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e841d5588190a53ba90a46721b0f |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8b79d308190922a310ff1337eae |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e9ba41948190b9e4f6f54f32603c |
completed | March 12, 2026, 4:28 p.m. |
Created at: March 8, 2026, 3:10 p.m.