Triple
T17786602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This is propaganda |
E444031
|
entity |
| Predicate | blursBoundaryBetween |
P128918
|
FINISHED |
| Object | exhibition and performance |
—
|
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: exhibition and performance | Statement: [This is propaganda, blursBoundaryBetween, exhibition and performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blursBoundaryBetween Context triple: [This is propaganda, blursBoundaryBetween, exhibition and performance]
-
A.
boundaryBetween
Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
-
B.
contrastedWithBoundary
Indicates a relationship where one entity is compared or set in opposition to a defining limit, edge, or boundary of another entity to highlight their differences.
-
C.
borderDefinedBetween
Indicates that a boundary line or border is formally established between two geographic or political entities.
-
D.
nearBorderBetween
Indicates that something is located close to the dividing line or boundary shared between two adjacent areas or regions.
-
E.
climateBoundaryBetween
Indicates a boundary or dividing line between two regions that differ in climate characteristics or classifications.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487938418819096016ad717b014e6 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:12 a.m.