Triple
T11912936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Brescia |
E283438
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sirmione |
E459391
|
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: Sirmione | Statement: [Province of Brescia, contains, Sirmione]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirmione Context triple: [Province of Brescia, contains, Sirmione]
-
A.
Sirmione
chosen
Sirmione is a picturesque Italian resort town on a narrow peninsula in Lake Garda, renowned for its medieval Scaliger Castle, Roman ruins, and thermal spas.
-
B.
Monfalcone
Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
-
C.
Marostica
Marostica is a historic town in northeastern Italy renowned for its medieval castle and life-sized human chess game played in the main square.
-
D.
Sacile
Sacile is a historic town in northeastern Italy’s Friuli Venezia Giulia region, known for its picturesque river setting and strategic importance in various military conflicts.
-
E.
Caerano di San Marco
Caerano di San Marco is a municipality in the Veneto region of northern Italy, known for its role in the local footwear and sportswear industry.
- 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.