Triple
T34294873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facoltà di Filosofia |
E879995
|
entity |
| Predicate | labelInItalian |
P17612
|
FINISHED |
| Object | Facoltà di Filosofia |
—
|
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: Facoltà di Filosofia | Statement: [Facoltà di Filosofia, labelInItalian, Facoltà di Filosofia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelInItalian Context triple: [Facoltà di Filosofia, labelInItalian, Facoltà di Filosofia]
-
A.
nameInItalian
chosen
Indicates that one entity is the Italian-language name or label used to refer to another entity.
-
B.
ItalianVersionClaimed
Indicates that an entity asserts or is reported to have an Italian-language version.
-
C.
hasAcronymInItalian
Indicates that an entity is associated with an acronym specifically in the Italian language.
-
D.
correspondsToAbbreviationInItalian
Indicates that one entity is the full form or concept for which the other entity serves as an abbreviation in Italian.
-
E.
ItalianObjective
Indicates that an entity has an objective, goal, or target specifically related to Italy or the Italian context.
- F. None of above.
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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.