Triple
T20278355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marco sestiere |
E503072
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Campo Santo Stefano |
—
|
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: Campo Santo Stefano | Statement: [San Marco sestiere, contains, Campo Santo Stefano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo Santo Stefano Context triple: [San Marco sestiere, contains, Campo Santo Stefano]
-
A.
Campo Santo Stefano
chosen
Campo Santo Stefano is a historic square on the island of Murano near Venice, known for its traditional architecture and proximity to the island’s famed glassmaking workshops.
-
B.
Montemesola
Montemesola is a small Italian town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
-
C.
Montemiletto
Montemiletto is a historic hill town in southern Italy’s Campania region, known for its medieval castle and surrounding wine-producing countryside.
-
D.
Santo Stefano al Mare
Santo Stefano al Mare is a small coastal town and seaside resort on the Italian Riviera in Liguria, known for its beaches and Mediterranean charm.
-
E.
Campo Marzio
Campo Marzio is a historic central district of Rome, Italy, known for its dense concentration of ancient monuments, Baroque churches, and important civic buildings.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e59f7c819086638b871ecbbd40 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:35 a.m.