Triple
T13050899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owens College |
E327444
|
entity |
| Predicate | roleInVictoriaUniversity |
P38510
|
FINISHED |
| Object | founding 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: founding college | Statement: [Owens College, roleInVictoriaUniversity, founding college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVictoriaUniversity Context triple: [Owens College, roleInVictoriaUniversity, founding college]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
roleAtUCSD
Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
-
C.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
D.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
E.
universitySectionOf
Indicates that one entity is a specific section, division, or part within a larger university.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.