Triple
T3455799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macugnaga |
E72900
|
entity |
| Predicate | hasHamlet |
P12354
|
FINISHED |
| Object |
Borca
Borca is a small alpine hamlet in the municipality of Macugnaga in Italy’s Piedmont region, known for its traditional mountain setting near Monte Rosa.
|
E359119
|
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: Borca | Statement: [Macugnaga, hasHamlet, Borca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borca Context triple: [Macugnaga, hasHamlet, Borca]
-
A.
Basovizza
Basovizza is a village near Trieste in northeastern Italy known for hosting major scientific facilities and for its historical significance in the region.
-
B.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
C.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
D.
Pazin
Pazin is a historic town in central Istria, Croatia, known for its medieval castle perched above a dramatic karst gorge.
-
E.
Maslianico
Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
- 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: Borca Triple: [Macugnaga, hasHamlet, Borca]
Generated description
Borca is a small alpine hamlet in the municipality of Macugnaga in Italy’s Piedmont region, known for its traditional mountain setting near Monte Rosa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borca Target entity description: Borca is a small alpine hamlet in the municipality of Macugnaga in Italy’s Piedmont region, known for its traditional mountain setting near Monte Rosa.
-
A.
Basovizza
Basovizza is a village near Trieste in northeastern Italy known for hosting major scientific facilities and for its historical significance in the region.
-
B.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
C.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
D.
Pazin
Pazin is a historic town in central Istria, Croatia, known for its medieval castle perched above a dramatic karst gorge.
-
E.
Maslianico
Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361014b1c81909b6db97ec2395b73 |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b36200bc988190b5883c21b8bba5bc |
completed | March 13, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36264b39481909e8255c3af92c977 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.