Triple
T22988033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPO |
E571966
|
entity |
| Predicate | hasTargetEnrollee |
P133314
|
FINISHED |
| Object | consumers willing to trade provider choice for lower premiums |
—
|
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: consumers willing to trade provider choice for lower premiums | Statement: [EPO, hasTargetEnrollee, consumers willing to trade provider choice for lower premiums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetEnrollee Context triple: [EPO, hasTargetEnrollee, consumers willing to trade provider choice for lower premiums]
-
A.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
B.
hasTargetStudentProfile
chosen
Indicates that an entity is associated with or intended for a specific type of student characterized by a defined profile.
-
C.
hasEnrollmentRange
Indicates that there is a specified minimum and/or maximum number of participants allowed or expected for an enrollment in a given context.
-
D.
enrolledIn
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
-
E.
hasEnrollmentPattern
Indicates a relationship where an entity is associated with a specific pattern or structure governing how enrollments occur or are organized.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829b4ea88190bc1a01183df7a1bb |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.