Triple
T25306587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Health Insurance Counseling and Advocacy Program |
E634496
|
entity |
| Predicate | biasPolicy |
P47259
|
FINISHED |
| Object | unbiased |
—
|
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: unbiased | Statement: [Health Insurance Counseling and Advocacy Program, biasPolicy, unbiased]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biasPolicy Context triple: [Health Insurance Counseling and Advocacy Program, biasPolicy, unbiased]
-
A.
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.
-
B.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
-
C.
policyBasis
Indicates that one entity serves as the foundational rationale, authority, or guiding principle upon which a policy or rule is established or justified.
-
D.
policyAlignment
Indicates the degree to which one entity’s policies are consistent with, supportive of, or in agreement with those of another entity.
-
E.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4939b66448190b85a1fcac5af0e69 |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:25 p.m.