Triple
T16050058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilna Troupe |
E389328
|
entity |
| Predicate | dispersedDueTo |
P57634
|
FINISHED |
| Object | political upheavals in Eastern Europe |
—
|
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: political upheavals in Eastern Europe | Statement: [Vilna Troupe, dispersedDueTo, political upheavals in Eastern Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dispersedDueTo Context triple: [Vilna Troupe, dispersedDueTo, political upheavals in Eastern Europe]
-
A.
dispersedBy
chosen
Indicates that one entity is spread, scattered, or distributed as a result of the actions or influence of another entity.
-
B.
dispersion
Indicates the degree to which items in a set are spread out or scattered relative to one another.
-
C.
dispersingElement
Indicates that one entity causes another entity to spread out or scatter from a concentrated state into a wider area or among multiple parts.
-
D.
dissolvedDueTo
Indicates that a relationship, agreement, or entity came to an end as a result of a specified cause or event.
-
E.
dispersionMechanism
Indicates the process or method by which something (such as particles, organisms, or substances) is spread or distributed from one place to others.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.