Triple
T2950629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primorje-Gorski Kotar County |
E79810
|
entity |
| Predicate | hasCoOfficialLanguageInParts |
P5601
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Primorje-Gorski Kotar County, hasCoOfficialLanguageInParts, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoOfficialLanguageInParts Context triple: [Primorje-Gorski Kotar County, hasCoOfficialLanguageInParts, Italian]
-
A.
hasLanguageOfOfficialName
Indicates that an entity’s official name is expressed in a specified language.
-
B.
isUNOfficialLanguage
Indicates that a language holds official status within the United Nations.
-
C.
isWorkingLanguageOf
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
-
D.
additionalOfficialLanguage
chosen
Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
-
E.
isCulturalLanguageOf
Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fbb7d4819081c241f3ff9165e5 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.