Triple
T28804134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish–Lithuanian–Ruthenian Commonwealth |
E727325
|
entity |
| Predicate | proposedConstituentPart |
P61956
|
FINISHED |
| Object | Kingdom of Poland |
—
|
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: Kingdom of Poland | Statement: [Polish–Lithuanian–Ruthenian Commonwealth, proposedConstituentPart, Kingdom of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedConstituentPart Context triple: [Polish–Lithuanian–Ruthenian Commonwealth, proposedConstituentPart, Kingdom of Poland]
-
A.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
B.
proposedPart
chosen
Indicates that one entity has been suggested or put forward to serve as a component or element of another entity.
-
C.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
D.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
E.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 6:28 a.m.