Triple
T6687741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Roosevelt College |
E152140
|
entity |
| Predicate | roleAtUCSD |
P72205
|
FINISHED |
| Object | provides general education and residential life structure |
—
|
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: provides general education and residential life structure | Statement: [Eleanor Roosevelt College, roleAtUCSD, provides general education and residential life structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtUCSD Context triple: [Eleanor Roosevelt College, roleAtUCSD, provides general education and residential life structure]
-
A.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
B.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
C.
campusUsedBy
Indicates that a particular campus is utilized or occupied by a specified group, organization, or set of entities.
-
D.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
-
E.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
- 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.