Triple
T9637094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldwell University |
E232959
|
entity |
| Predicate | hasReligiousService |
P77850
|
FINISHED |
| Object | Catholic liturgies on campus |
—
|
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: Catholic liturgies on campus | Statement: [Caldwell University, hasReligiousService, Catholic liturgies on campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousService Context triple: [Caldwell University, hasReligiousService, Catholic liturgies on campus]
-
A.
hasWorshipServices
chosen
Indicates that an entity conducts or provides organized religious worship services.
-
B.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
C.
hasLiturgicalCelebration
Indicates that a religious figure, event, or concept is formally commemorated or observed within a liturgical calendar or worship service.
-
D.
religiousServiceType
Indicates the specific kind or category of religious service associated with an event or context.
-
E.
hasContinuousReligiousFunctionSince
Indicates that a religious function or use has been ongoing without interruption from a specified starting time up to the present or another reference time.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b5045cc8190ab717f42d803e010 |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.