Triple
T37627008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Kentucky |
E936239
|
entity |
| Predicate | hasMoralTeachingSource |
P27668
|
FINISHED |
| Object | Catechism of the Catholic Church |
—
|
NE NERFINISHED |
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: Catechism of the Catholic Church | Statement: [Catholic Church in Kentucky, hasMoralTeachingSource, Catechism of the Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralTeachingSource Context triple: [Catholic Church in Kentucky, hasMoralTeachingSource, Catechism of the Catholic Church]
-
A.
derivesMoralityFrom
chosen
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
B.
hasMoralMessage
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
-
C.
hasMoralCode
Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
-
D.
moralBelief
Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
-
E.
hasMoralPerspective
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.