Triple
T430924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immaculate Conception |
E9709
|
entity |
| Predicate | reasonGiven |
P6484
|
FINISHED |
| Object | fitting privilege in view of Mary’s role as Mother of God |
—
|
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: fitting privilege in view of Mary’s role as Mother of God | Statement: [Immaculate Conception, reasonGiven, fitting privilege in view of Mary’s role as Mother of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonGiven Context triple: [Immaculate Conception, reasonGiven, fitting privilege in view of Mary’s role as Mother of God]
-
A.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
B.
originalReason
chosen
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
C.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
D.
reasonForCreation
Indicates that one entity was created for the purpose, cause, or motivation specified by another entity.
-
E.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.