Triple
T24667823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Roosevelt College |
E610732
|
entity |
| Predicate | hasAcademicProgramFeature |
P40345
|
FINISHED |
| Object | writing‑intensive core sequence |
—
|
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: writing‑intensive core sequence | Statement: [Eleanor Roosevelt College, hasAcademicProgramFeature, writing‑intensive core sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicProgramFeature Context triple: [Eleanor Roosevelt College, hasAcademicProgramFeature, writing‑intensive core sequence]
-
A.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
B.
hasEducationalFeature
chosen
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
C.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
D.
hasCourseCharacteristic
Indicates that a course possesses or is associated with a particular characteristic, feature, or attribute.
-
E.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:41 a.m.