Triple
T1926896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian language |
E40852
|
entity |
| Predicate | hasArticleSystem |
P33540
|
FINISHED |
| Object | no definite or indefinite articles |
—
|
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: no definite or indefinite articles | Statement: [Georgian language, hasArticleSystem, no definite or indefinite articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArticleSystem Context triple: [Georgian language, hasArticleSystem, no definite or indefinite articles]
-
A.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
B.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
-
C.
articleCount
Indicates the number of articles associated with a given entity or context.
-
D.
hasEditorialContent
Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
-
E.
isFinalArticleOf
Indicates that one article is the concluding or last article within a defined sequence, series, or collection.
- F. None of above. chosen
Provenance (4 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb261ef8481909be2390ac5a02622 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.