Triple
T12410679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Missiology |
E296504
|
entity |
| Predicate | hasReligiousOrderTradition |
P95670
|
FINISHED |
| Object | Jesuit |
—
|
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: Jesuit | Statement: [Faculty of Missiology, hasReligiousOrderTradition, Jesuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousOrderTradition Context triple: [Faculty of Missiology, hasReligiousOrderTradition, Jesuit]
-
A.
hasRiteOrTradition
Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
-
B.
religiousOrderSupported
Indicates that one entity provides support—such as resources, endorsement, or maintenance—to a particular religious order.
-
C.
belongsToOrderTradition
chosen
Indicates that something is associated with, or is a member of, a particular order or tradition within a broader system or context.
-
D.
theologicalTradition
Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
-
E.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.