Triple
T27779753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm 107 |
E699300
|
entity |
| Predicate | exhortation |
P99423
|
FINISHED |
| Object | call to give thanks to the LORD |
—
|
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: call to give thanks to the LORD | Statement: [Psalm 107, exhortation, call to give thanks to the LORD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhortation Context triple: [Psalm 107, exhortation, call to give thanks to the LORD]
-
A.
exhortedTo
Indicates that one entity strongly urged, encouraged, or pressured another entity to perform a particular action or adopt a certain course of behavior.
-
B.
exhortedBy
chosen
Indicates that one entity is strongly urged, encouraged, or admonished to act or think in a certain way by another entity.
-
C.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
D.
expel
Indicates forcing an entity to leave or be removed from a place, group, or situation, typically as a punishment or consequence.
-
E.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637cd6cb88190890704547d681fb2 |
completed | May 2, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:09 p.m.