Triple
T13163156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi Yitzchak of Berditchev |
E312776
|
entity |
| Predicate | hasThemeInTeachings |
P24743
|
FINISHED |
| Object | love 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: love of God | Statement: [Levi Yitzchak of Berditchev, hasThemeInTeachings, love of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeInTeachings Context triple: [Levi Yitzchak of Berditchev, hasThemeInTeachings, love of God]
-
A.
hasReligiousTheme
chosen
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
-
B.
hasViewOnOtherTeachings
Indicates that one entity holds a particular opinion, stance, or perspective regarding the teachings or doctrines of another entity.
-
C.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
-
D.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
E.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:13 p.m.