Triple
T8438472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melfi |
E199288
|
entity |
| Predicate | regionCapital |
P16248
|
FINISHED |
| Object | Potenza |
E350143
|
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: Potenza | Statement: [Melfi, regionCapital, Potenza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potenza Context triple: [Melfi, regionCapital, Potenza]
-
A.
Potenza
chosen
Potenza is a historic city in southern Italy that serves as the administrative and cultural center of the Basilicata region.
-
B.
Cosenza
Cosenza is a historic city in southern Italy known for its medieval old town, cultural heritage, and role as an important provincial and university center.
-
C.
Caserta
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.
-
D.
Barletta
Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
-
E.
Catanzaro
Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian Sea.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf27e1bda481909062b9259a168eb0 |
completed | April 3, 2026, 2:37 a.m. |
Created at: March 30, 2026, 6:08 p.m.