Triple
T35468674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricks College |
E1025148
|
entity |
| Predicate | campusReligionFacilities |
P25397
|
FINISHED |
| Object | LDS meetinghouses |
—
|
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: LDS meetinghouses | Statement: [Ricks College, campusReligionFacilities, LDS meetinghouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusReligionFacilities Context triple: [Ricks College, campusReligionFacilities, LDS meetinghouses]
-
A.
religiousCampus
Indicates that a campus is affiliated with, governed by, or primarily dedicated to a particular religion or religious organization.
-
B.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
C.
campusFacilityType
chosen
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
-
D.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
-
E.
cityCampus
Indicates that a campus is located within or associated with a particular city.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.