Triple
T21407177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava |
E528067
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Sava, hasLanguage, Italian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italian Context triple: [Sava, hasLanguage, Italian]
-
A.
Italian
chosen
Italian refers to a person or cultural identity associated with Italy, its language, traditions, and national heritage.
-
B.
The Italian
The Italian is a 1797 Gothic novel by Ann Radcliffe, renowned for its suspenseful plot, atmospheric settings, and exploration of religious and psychological themes.
-
C.
Italiano
Italiano is an Italian-language surname most notably borne by American actress Anne Bancroft, born Anna Maria Louisa Italiano.
-
D.
Talian
Talian is a Brazilian variety of Venetian-based Italian dialects spoken mainly in southern Brazil, particularly within Italian immigrant communities.
-
E.
Italian cuisine
Italian cuisine is a globally influential culinary tradition known for its regional diversity and iconic dishes such as pasta, pizza, and risotto, emphasizing fresh ingredients and simple, robust flavors.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b1acd881908556981ed788340c |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.