Triple
T33548806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Mohammad Thomas |
E859278
|
entity |
| Predicate | hasReligionReferenceInName |
—
|
GENERATED |
| Object | Hinduism |
—
|
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: hasReligionReferenceInName Context triple: [Ram Mohammad Thomas, hasReligionReferenceInName, Hinduism]
-
A.
hasReligiousAffiliationInName
chosen
Indicates that an entity’s name explicitly includes or reflects a religious affiliation or association.
-
B.
hasReligiousName
Indicates that an entity possesses a name specifically associated with a religious context, role, or tradition.
-
C.
hasEponymReligion
Indicates that a religion is named after or derived from the name of a particular person.
-
D.
religiousName
Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
-
E.
namedForPersonReligion
Indicates that something is named after a person specifically because of that person's religious identity, role, or significance.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:39 a.m.