Triple
T6687746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Roosevelt College |
E152140
|
entity |
| Predicate | hasAdvising |
P72206
|
FINISHED |
| Object | academic advising for ERC students |
—
|
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 for ERC students | Statement: [Eleanor Roosevelt College, hasAdvising, academic advising for ERC students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdvising Context triple: [Eleanor Roosevelt College, hasAdvising, academic advising for ERC students]
-
A.
associatedWithAdvisor
Indicates that an entity has a relationship of guidance, oversight, or mentorship with a designated advisor.
-
B.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
C.
advisorOf
Indicates that one entity serves as an advisor, providing guidance or counsel, to another entity.
-
D.
hasTeachingAuthority
Indicates that one entity possesses the recognized power or right to teach, instruct, or provide formal education to another entity or within a specific context.
-
E.
academicAdvisor
Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cd0d939081908ede0bb6ce19f559 |
completed | March 27, 2026, 6:31 p.m. |
Created at: March 27, 2026, 2:04 p.m.