Triple
T4069178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slava Ukrayini |
E86601
|
entity |
| Predicate | responseOriginalScript |
P53313
|
FINISHED |
| Object | Героям слава |
—
|
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: Героям слава | Statement: [Slava Ukrayini, responseOriginalScript, Героям слава]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseOriginalScript Context triple: [Slava Ukrayini, responseOriginalScript, Героям слава]
-
A.
replacedScript
Indicates that one script has been substituted for or superseded by another script.
-
B.
primaryScript
Indicates the writing system or script that is chiefly used to represent the language or content of an entity.
-
C.
formerScript
Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
-
D.
originalFunction
Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
-
E.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbfa45c88190b7b13b35de816378 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa5c52648190b001027f4dba75cb |
completed | March 9, 2026, 4:50 p.m. |
Created at: March 9, 2026, 3:38 p.m.