Triple
T19234018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrový |
E480944
|
entity |
| Predicate | grammaticalCategoryInCzech |
P60322
|
FINISHED |
| Object | adjective-derived surname |
—
|
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: adjective-derived surname | Statement: [Syrový, grammaticalCategoryInCzech, adjective-derived surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalCategoryInCzech Context triple: [Syrový, grammaticalCategoryInCzech, adjective-derived surname]
-
A.
grammaticalType
Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
-
B.
morphologicalClass
chosen
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
grammaticalForm
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
-
D.
czechName
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
E.
grammaticalCaseSystem
Indicates a relationship where a language employs a system of grammatical cases to mark the roles and relationships of nouns and related elements in sentences.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faeb53988190b83afee9974058c6 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.