Triple
T37074532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thousand Oaks main campus |
E917671
|
entity |
| Predicate | hasStudentFacilitiesOf |
P2465
|
FINISHED |
| Object | California Lutheran University |
—
|
NE NERFINISHED |
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: California Lutheran University | Statement: [Thousand Oaks main campus, hasStudentFacilitiesOf, California Lutheran University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentFacilitiesOf Context triple: [Thousand Oaks main campus, hasStudentFacilitiesOf, California Lutheran University]
-
A.
hasStudentAthleteFacilities
Indicates that an institution or location provides dedicated facilities or resources specifically for student athletes.
-
B.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
C.
hasAcademicFacilities
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
D.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
E.
campusFacilityType
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
Created at: May 3, 2026, 4:14 p.m.