Triple
T37261172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Σικελία |
E924261
|
entity |
| Predicate | έχει τοπική γλώσσα |
P115774
|
FINISHED |
| Object | σιτσιλιάνικα |
—
|
LITERAL 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: σιτσιλιάνικα | Statement: [Σικελία, έχει τοπική γλώσσα, σιτσιλιάνικα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχει τοπική γλώσσα Context triple: [Σικελία, έχει τοπική γλώσσα, σιτσιλιάνικα]
-
A.
languageUsedInLocality
chosen
Indicates that a particular language is used or spoken within a specific locality or geographic area.
-
B.
hasPrimaryLanguageNearby
Indicates that an entity is associated with a primary language that is predominantly used or present in its immediate geographic or contextual vicinity.
-
C.
refersToLanguageSpokenIn
Indicates that one entity designates or mentions the language that is spoken in another entity (such as a place or region).
-
D.
languageOfLocalOrganization
Indicates the language used or officially adopted by a local organization in its operations or communications.
-
E.
hasLocalCult
Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.