Triple
T25019428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa o Kołobrzeg |
E626531
|
entity |
| Predicate | maNiemieckąNazwę |
P22792
|
FINISHED |
| Object | Schlacht um Kolberg |
—
|
NE NERFINISHED |
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: Schlacht um Kolberg | Statement: [Bitwa o Kołobrzeg, maNiemieckąNazwę, Schlacht um Kolberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maNiemieckąNazwę Context triple: [Bitwa o Kołobrzeg, maNiemieckąNazwę, Schlacht um Kolberg]
-
A.
hasNameInPolish
Indicates that an entity is associated with a specific name or label expressed in the Polish language.
-
B.
officialNamePolish
Indicates the official or legally recognized name of an entity as expressed in the Polish language.
-
C.
hasSilesianName
Indicates that an entity is associated with a name expressed in the Silesian language.
-
D.
maMiejsceW
Indicates that something is located in or takes place within a specified place or context.
-
E.
nameInGerman
chosen
Indicates that an entity is known or referred to by a specific name in the German language.
- 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.