Triple
T24667814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Roosevelt College |
E610732
|
entity |
| Predicate | undergraduateLevel |
P152264
|
FINISHED |
| Object | four‑year college |
—
|
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: four‑year college | Statement: [Eleanor Roosevelt College, undergraduateLevel, four‑year college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergraduateLevel Context triple: [Eleanor Roosevelt College, undergraduateLevel, four‑year college]
-
A.
hasUndergraduateLevel
chosen
Indicates that something possesses or is associated with an educational level corresponding to undergraduate studies.
-
B.
undergraduateOnly
Indicates that the associated activity, course, or resource is restricted exclusively to undergraduate students.
-
C.
undergraduatesApprox
Indicates that the relationship involves an approximate or estimated number of undergraduate students associated with an entity.
-
D.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
E.
undergraduateEducation
Indicates the educational institution or program where an entity completed or pursued its undergraduate studies.
- 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.