Triple
T12521420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabrian Greek |
E299327
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Bovesia |
E924267
|
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: Bovesia | Statement: [Calabrian Greek, region, Bovesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bovesia Context triple: [Calabrian Greek, region, Bovesia]
-
A.
Bovesia
chosen
Bovesia is a small area in southern Italy known for its historic Griko-speaking communities and preservation of Greek linguistic and cultural heritage.
-
B.
Bollea
Bollea is the Italian-origin surname of professional wrestling icon Hulk Hogan, whose real name is Terry Bollea.
-
C.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
D.
Bosconia
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
-
E.
Belouizdad
Belouizdad is a district in Algiers, Algeria, known for its dense urban character and strong football culture.
- 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_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.