Triple
T35375887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierce County Center |
E1022507
|
entity |
| Predicate | hasStudentAccessTo |
P201294
|
FINISHED |
| Object | Central Washington University library resources |
—
|
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: Central Washington University library resources | Statement: [Pierce County Center, hasStudentAccessTo, Central Washington University library resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentAccessTo Context triple: [Pierce County Center, hasStudentAccessTo, Central Washington University library resources]
-
A.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
hasStudentMembership
Indicates that an entity holds or is associated with a membership specifically designated for students.
-
D.
hasAtGradeAccess
Indicates that an entity has access or permission at a specified grade or level.
-
E.
hasStudentCode
Indicates that an entity is associated with a specific student identification code assigned to it.
- F. None of above. chosen
Provenance (4 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
| PDg | Predicate description generation | batch_69ffe6e21f748190a18dfe0878d397f7 |
completed | May 10, 2026, 2:01 a.m. |
Created at: May 3, 2026, 4:03 p.m.