Triple
T25019461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa o Kołobrzeg |
E626531
|
entity |
| Predicate | związaneWydarzenie |
P59649
|
FINISHED |
| Object | zaślubiny Polski z morzem w Kołobrzegu w marcu 1945 |
—
|
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: zaślubiny Polski z morzem w Kołobrzegu w marcu 1945 | Statement: [Bitwa o Kołobrzeg, związaneWydarzenie, zaślubiny Polski z morzem w Kołobrzegu w marcu 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: związaneWydarzenie Context triple: [Bitwa o Kołobrzeg, związaneWydarzenie, zaślubiny Polski z morzem w Kołobrzegu w marcu 1945]
-
A.
isLinkedToEvent
chosen
Indicates that an entity has an association or connection with a specific event.
-
B.
laterRelatedEvent
Indicates that one event is temporally related to another by occurring at a later time.
-
C.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
D.
eventoDesencadenante
Indicates that one event serves as the trigger or initiating cause for another event or process.
-
E.
closelyAssociatedEvent
Indicates that one event is strongly related to, connected with, or occurs in close conjunction with another event.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba9108c8190aca5c07f277d82b8 |
completed | May 1, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:06 a.m.