Triple
T22894467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Santa Fosca |
E568132
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Saint Fosca |
—
|
NE NERFINISHED |
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: Saint Fosca | Statement: [Church of Santa Fosca, dedicatedTo, Saint Fosca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Fosca Context triple: [Church of Santa Fosca, dedicatedTo, Saint Fosca]
-
A.
Saint Fosca
chosen
Saint Fosca is a Christian martyr venerated particularly in northern Italy, where several churches and shrines are dedicated to her memory.
-
B.
Lucia da Torsano
Lucia da Torsano was an Italian noblewoman best known as the mother of Francesco Sforza, the 15th-century condottiero who became Duke of Milan.
-
C.
Fosca
Fosca is a municipality located within Cuba's former Oriente Province.
-
D.
Fosca
Fosca is the intensely emotional, chronically ill heroine of Stephen Sondheim’s musical "Passion," whose obsessive love drives the story’s central conflict.
-
E.
Fosca
Fosca is a small rural municipality in the Eastern Province of Cundinamarca, Colombia, known for its mountainous landscapes and traditional Andean agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc83d688190a8ab5ea0aad1e7ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.