Triple
T11453207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franciscan University of Steubenville |
E271454
|
entity |
| Predicate | hasSpiritualLife |
P99649
|
FINISHED |
| Object | daily Mass |
—
|
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: daily Mass | Statement: [Franciscan University of Steubenville, hasSpiritualLife, daily Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpiritualLife Context triple: [Franciscan University of Steubenville, hasSpiritualLife, daily Mass]
-
A.
hasSpiritualDimension
Indicates that something possesses or involves a non-material, spiritual, or transcendent aspect or quality.
-
B.
hasSpiritualHead
Indicates that one entity serves as the primary religious or spiritual leader or authority for another entity.
-
C.
hasSpiritualSource
Indicates that something originates from, is derived from, or is fundamentally grounded in a spiritual or non-material source.
-
D.
hasSpiritualLifeOffice
Indicates that an entity maintains or is associated with an office responsible for spiritual life services or activities.
-
E.
spiritualMeans
Indicates that one entity serves as a spiritual method, medium, or pathway through which another entity attains or engages in a spiritual state, goal, or practice.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.