Triple
T3425340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willamette University College of Law |
E72215
|
entity |
| Predicate | offersExperientialLearning |
P48639
|
FINISHED |
| Object | externship programs |
—
|
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: externship programs | Statement: [Willamette University College of Law, offersExperientialLearning, externship programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersExperientialLearning Context triple: [Willamette University College of Law, offersExperientialLearning, externship programs]
-
A.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
B.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
C.
offersContinuingEducation
Indicates that an entity provides ongoing educational or professional development opportunities to another entity.
-
D.
offersCurriculum
Indicates that one entity provides or makes available a specific curriculum to another entity.
-
E.
offersDaySchooling
Indicates that an entity provides daytime educational services without overnight accommodation.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb97fa2d88190a79cb8c7be4b3696 |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.