Triple
T9192159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Immaculate Conception |
E220615
|
entity |
| Predicate | clarifiedMisconception |
P56163
|
FINISHED |
| Object | does not refer to virginal conception of Jesus |
—
|
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: does not refer to virginal conception of Jesus | Statement: [Our Lady of the Immaculate Conception, clarifiedMisconception, does not refer to virginal conception of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarifiedMisconception Context triple: [Our Lady of the Immaculate Conception, clarifiedMisconception, does not refer to virginal conception of Jesus]
-
A.
notableMisconception
Indicates that a commonly held but incorrect belief or understanding exists about the subject.
-
B.
clarifiesThat
chosen
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
C.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
D.
challengedConcept
Indicates that one entity has questioned, disputed, or called into doubt the validity, accuracy, or applicability of a particular concept.
-
E.
betterUnderstoodAs
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.