Triple
T25019470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa o Kołobrzeg |
E626531
|
entity |
| Predicate | należyDo |
P109922
|
FINISHED |
| Object | historia II wojny światowej na froncie wschodnim |
—
|
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: historia II wojny światowej na froncie wschodnim | Statement: [Bitwa o Kołobrzeg, należyDo, historia II wojny światowej na froncie wschodnim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: należyDo Context triple: [Bitwa o Kołobrzeg, należyDo, historia II wojny światowej na froncie wschodnim]
-
A.
надлежност
Indicates that one entity belongs to, is under the authority of, or falls within the responsibility or jurisdiction of another entity.
-
B.
appartientÀ
chosen
Indicates that one entity belongs to, is a member of, or is part of another entity.
-
C.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
D.
believedToBelongTo
Indicates that something is thought or assumed, but not definitively known, to be owned by or part of a particular entity.
-
E.
containsVoivodeship
Indicates that one administrative region or entity geographically includes or encompasses a voivodeship within its boundaries.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:06 a.m.