Triple
T11912954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Brescia |
E283438
|
entity |
| Predicate | hasHistoricalRegion |
P915
|
FINISHED |
| Object | Val Trompia |
E946110
|
NE FINISHED |
How this triple was built (2 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: Val Trompia | Statement: [Province of Brescia, hasHistoricalRegion, Val Trompia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Trompia Context triple: [Province of Brescia, hasHistoricalRegion, Val Trompia]
-
A.
Val Trompia
chosen
Val Trompia is a valley in the province of Brescia in Lombardy, northern Italy, known historically for its ironworking and arms manufacturing.
-
B.
Val Cavallina
Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
-
C.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
D.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
E.
Piovese
Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4185fd3588190807cc2906c4ce3fd |
completed | May 1, 2026, 3:05 a.m. |
Created at: April 8, 2026, 9:44 p.m.