Triple
T22677373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juventus Caserta |
E560379
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Caserta |
—
|
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: Caserta | Statement: [Juventus Caserta, location, Caserta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caserta Context triple: [Juventus Caserta, location, Caserta]
-
A.
Caserta
chosen
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
-
B.
Aversa
Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
-
C.
Gaeta
Gaeta is a historic coastal town in central Italy known for its scenic Gulf of Gaeta, medieval fortifications, and strategic military and maritime significance.
-
D.
Potenza
Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
-
E.
Potenza
Potenza is a river in the Marche region of central Italy that flows through the Province of Macerata before reaching the Adriatic Sea.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.