Triple
T29084596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duchy of Ruthenia |
E734070
|
entity |
| Predicate | modeledAlongside |
P165985
|
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: [Grand Duchy of Ruthenia, modeledAlongside, Kingdom of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeledAlongside Context triple: [Grand Duchy of Ruthenia, modeledAlongside, Kingdom of Poland]
-
A.
playedAlongside
Indicates that two or more entities participated together at the same time in a shared activity, performance, or event.
-
B.
appearsAlongside
Indicates that two entities are present or occur together in the same context, setting, or instance.
-
C.
modeledBy
Indicates that one entity serves as a model or representation of another, typically capturing its structure, behavior, or properties.
-
D.
performedInFilmOpposite
Indicates that two performers acted together in significant, often directly interacting roles in the same film.
-
E.
co-star
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
- F. None of above. chosen
Provenance (4 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6614638d481909dd167f9c8c7055c |
completed | May 2, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 10:59 a.m.