Triple
T6128421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danish people |
E136648
|
entity |
| Predicate | stereotype |
P12230
|
FINISHED |
| Object | trust in institutions |
—
|
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: trust in institutions | Statement: [Danish people, stereotype, trust in institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stereotype Context triple: [Danish people, stereotype, trust in institutions]
-
A.
hasRacialStereotypes
Indicates that one entity portrays, attributes, or associates racial stereotypes with another entity.
-
B.
genderStereotypingRecognizedAs
Indicates that a particular belief, behavior, or representation is acknowledged or classified as a form of gender stereotyping.
-
C.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
D.
stance
Indicates the position, attitude, or viewpoint one entity holds toward another entity, issue, or proposition.
-
E.
typicalIn
chosen
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4b1df081908dc87fa1c45a43bf |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049fa905c8190b99eda54e9771b0b |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:15 p.m.