Triple
T31401887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish medieval chronicles |
E801015
|
entity |
| Predicate | containsBias |
P180917
|
FINISHED |
| Object | pro-noble perspectives |
—
|
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: pro-noble perspectives | Statement: [Swedish medieval chronicles, containsBias, pro-noble perspectives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsBias Context triple: [Swedish medieval chronicles, containsBias, pro-noble perspectives]
-
A.
bias
Indicates a systematic preference or prejudice in favor of or against an entity, affecting how it is treated, evaluated, or represented relative to others.
-
B.
hadMembershipBias
Indicates that a membership or affiliation influenced the treatment, decision, or outcome in a biased or preferential way.
-
C.
requiresBiasType
Indicates that one entity must be associated with or specify a particular type of bias as a prerequisite or condition for the relationship or action.
-
D.
primarySourceBias
chosen
Indicates that a primary source presents information in a way that systematically favors a particular perspective, interest, or outcome over others.
-
E.
requiresBiasVoltage
Indicates that one entity must have a specific bias voltage applied in order for the other entity or process to operate correctly or as intended.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: April 29, 2026, 9:20 p.m.