Triple
T12521448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabrian Greek |
E299327
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Grecanico di Calabria |
E924268
|
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: Grecanico di Calabria | Statement: [Calabrian Greek, hasAlternativeName, Grecanico di Calabria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grecanico di Calabria Context triple: [Calabrian Greek, hasAlternativeName, Grecanico di Calabria]
-
A.
Grecanico
chosen
Grecanico is an alternative name for Griko, a Greek-derived minority language spoken in parts of southern Italy.
-
B.
Boscoppa
Boscoppa is a residential suburb of St Austell in Cornwall, England.
-
C.
Cannara
Cannara is a small Italian town in the Umbria region, known for its agricultural traditions and annual onion festival.
-
D.
Apricale
Apricale is a picturesque medieval hilltop village in the Ligurian region of northwestern Italy, known for its stone houses, narrow alleys, and scenic views.
-
E.
Calore Irpino
Calore Irpino is a major river in southern Italy that flows through the Campania region, particularly the province of Avellino.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbf43e08190ae79f92ed5882ce2 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.