Triple
T10948920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bitwa pod Kutnem |
E258672
|
entity |
| Predicate | rodzajDziałań |
P819
|
FINISHED |
| Object | kontratak zaczepny wojsk polskich |
—
|
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: kontratak zaczepny wojsk polskich | Statement: [bitwa pod Kutnem, rodzajDziałań, kontratak zaczepny wojsk polskich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rodzajDziałań Context triple: [bitwa pod Kutnem, rodzajDziałań, kontratak zaczepny wojsk polskich]
-
A.
typeOfOperation
chosen
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
B.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
C.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
D.
subjectOfOperation
Indicates that an entity is the primary focus, target, or object upon which an operation or procedure is performed.
-
E.
arithmetic
Indicates a relationship where one entity performs or represents a mathematical operation (such as addition, subtraction, multiplication, or division) involving one or more other entities.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ec7028819084f5ce2035a128e4 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.