Triple
T3548652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon community colleges |
E75056
|
entity |
| Predicate | studentSupportServices |
P33631
|
FINISHED |
| Object | academic advising |
—
|
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: academic advising | Statement: [Oregon community colleges, studentSupportServices, academic advising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentSupportServices Context triple: [Oregon community colleges, studentSupportServices, academic advising]
-
A.
hasStudentServices
chosen
Indicates that an entity provides or is associated with student support services for another entity or group.
-
B.
academicSupport
Indicates that one entity provides educational assistance, guidance, or resources to help another entity succeed academically.
-
C.
hasEducationalSupportFrom
Indicates that one entity receives educational assistance, guidance, or resources from another entity.
-
D.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
E.
studentsWing
Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd278348190ad2fa54f4a423541 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.