Triple
T35393154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Garcia |
E1022994
|
entity |
| Predicate | hasReligionAsMotivation |
—
|
GENERATED |
| Object | law enforcement decisions |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionAsMotivation Context triple: [Anne Garcia, hasReligionAsMotivation, law enforcement decisions]
-
A.
religiousMotivation
chosen
Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
-
B.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
C.
usedReligionFor
Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
-
D.
bearerReligion
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
E.
declaredReligiousMission
Indicates that an entity has formally stated or proclaimed a specific religious purpose, mission, or objective.
- F. None of above.
Provenance (1 batch)
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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.