Triple
T32524316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDH |
E831266
|
entity |
| Predicate | hasReligionInspiration |
P200008
|
FINISHED |
| Object | Catholicism |
—
|
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: Catholicism | Statement: [CDH, hasReligionInspiration, Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionInspiration Context triple: [CDH, hasReligionInspiration, Catholicism]
-
A.
religiousInspiration
chosen
Indicates that one entity serves as a source of religious motivation, guidance, or influence for another entity.
-
B.
influencedByReligion
Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
-
C.
influencedReligion
Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
-
D.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
E.
laterInfluencedByReligion
Indicates that an entity was influenced at a later time by a particular religion or 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a02fb5ca96081908ff618f560011940 |
completed | May 12, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_6a02f9602b308190a97f81821e12b13f |
completed | May 12, 2026, 9:56 a.m. |
Created at: May 1, 2026, 1:01 a.m.