Triple
T17134303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Camonica |
E415796
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Capo di Ponte
Capo di Ponte is a town in northern Italy’s Lombardy region, noted for its rich prehistoric rock carvings and archaeological sites within Val Camonica.
|
E1252399
|
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: Capo di Ponte | Statement: [Val Camonica, hasMajorTown, Capo di Ponte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capo di Ponte Context triple: [Val Camonica, hasMajorTown, Capo di Ponte]
-
A.
Capo Caccia
Capo Caccia is a dramatic limestone promontory on the northwest coast of Sardinia, Italy, known for its towering cliffs, sea caves, and scenic coastal views.
-
B.
Bonacca
Bonacca is the main town and population center on the Caribbean island of Guanaja in Honduras.
-
C.
Via Flacca
Via Flacca was an ancient Roman coastal road in Latium that linked key towns such as Formiae along the Tyrrhenian Sea.
-
D.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
E.
Val Cavallina
Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
- 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: Capo di Ponte Triple: [Val Camonica, hasMajorTown, Capo di Ponte]
Generated description
Capo di Ponte is a town in northern Italy’s Lombardy region, noted for its rich prehistoric rock carvings and archaeological sites within Val Camonica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capo di Ponte Target entity description: Capo di Ponte is a town in northern Italy’s Lombardy region, noted for its rich prehistoric rock carvings and archaeological sites within Val Camonica.
-
A.
Capo Caccia
Capo Caccia is a dramatic limestone promontory on the northwest coast of Sardinia, Italy, known for its towering cliffs, sea caves, and scenic coastal views.
-
B.
Bonacca
Bonacca is the main town and population center on the Caribbean island of Guanaja in Honduras.
-
C.
Via Flacca
Via Flacca was an ancient Roman coastal road in Latium that linked key towns such as Formiae along the Tyrrhenian Sea.
-
D.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
E.
Val Cavallina
Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02cbb7881908aa69c3443d149d5 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a0141e96e4481908bfdf7a1eb4ac979 |
completed | May 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01428ca86881909b18bcfc1c223f22 |
completed | May 11, 2026, 2:44 a.m. |
Created at: April 10, 2026, 5:36 a.m.