Triple
T32152340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barker balancing test |
E821191
|
entity |
| Predicate | prejudiceIncludes |
P47259
|
FINISHED |
| Object | oppressive pretrial incarceration |
—
|
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: oppressive pretrial incarceration | Statement: [Barker balancing test, prejudiceIncludes, oppressive pretrial incarceration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prejudiceIncludes Context triple: [Barker balancing test, prejudiceIncludes, oppressive pretrial incarceration]
-
A.
prejudiceStandard
Indicates that one entity applies a biased or pre-judged standard or criterion when evaluating or treating another entity.
-
B.
discriminationEmbedded
Indicates that discriminatory attitudes, biases, or practices are ingrained within a system, structure, or process rather than occurring only as isolated or explicit acts.
-
C.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
D.
includedJudgeFrom
Indicates that a judge is selected or drawn from a particular group, source, or jurisdiction.
-
E.
bias
chosen
Indicates a systematic preference or prejudice in favor of or against an entity, affecting how it is treated, evaluated, or represented relative 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9eccab88190a2895cbb0332c5a7 |
completed | May 3, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:31 a.m.