Triple
T2554519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of Loreto |
E56702
|
entity |
| Predicate | hasSpirituality |
P1821
|
FINISHED |
| Object | Ignatian spirituality |
—
|
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: Ignatian spirituality | Statement: [Sisters of Loreto, hasSpirituality, Ignatian spirituality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpirituality Context triple: [Sisters of Loreto, hasSpirituality, Ignatian spirituality]
-
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
chosen
Indicates that something originates from, is derived from, or is fundamentally grounded in a spiritual or non-material source.
-
D.
hasSpiritualWriter
Indicates that an entity is associated with, or has as its author or contributor, a writer responsible for its spiritual or religious content.
-
E.
religiousMood
Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.