Triple
T11457443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Caltanissetta |
E271565
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bompensiere
Bompensiere is a small municipality in the central Sicilian region of Italy, known for its rural character and traditional local culture.
|
E925728
|
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: Bompensiere | Statement: [Province of Caltanissetta, contains, Bompensiere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bompensiere Context triple: [Province of Caltanissetta, contains, Bompensiere]
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Bargnani
Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
-
C.
Biferno
Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
- 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: Bompensiere Triple: [Province of Caltanissetta, contains, Bompensiere]
Generated description
Bompensiere is a small municipality in the central Sicilian region of Italy, known for its rural character and traditional local culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bompensiere Target entity description: Bompensiere is a small municipality in the central Sicilian region of Italy, known for its rural character and traditional local culture.
-
A.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
B.
Bargnani
Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
-
C.
Biferno
Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3e197c881909db2e4e59c61c3c3 |
completed | April 20, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69e5d5cc251081908b85f264940a6545 |
completed | April 20, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d9272d788190b09a0badb555260f |
completed | April 20, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:35 p.m.