Triple
T2806659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabria |
E54068
|
entity |
| Predicate | hasProvince |
P285
|
FINISHED |
| Object | Cosenza |
E328742
|
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: Cosenza | Statement: [Calabria, hasProvince, Cosenza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cosenza Context triple: [Calabria, hasProvince, Cosenza]
-
A.
Cosenza
chosen
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.
-
B.
Catanzaro
Catanzaro is a city in southern Italy known as an administrative and cultural center overlooking the Ionian Sea.
-
C.
Reggio Calabria
Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
-
D.
Caltanissetta
Caltanissetta is a historic inland city in central Sicily, Italy, known for its former sulfur mining industry and panoramic hilltop setting.
-
E.
Foggia
Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde165a448190aa2728ec074daf88 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276bd909c8190a227ae7af6f41547 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 6, 2026, 9:59 p.m.