Triple
T25760607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Prayer |
E648729
|
entity |
| Predicate | commonResponseFormula |
P68576
|
FINISHED |
| Object | Lord, hear our prayer |
—
|
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: Lord, hear our prayer | Statement: [Universal Prayer, commonResponseFormula, Lord, hear our prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonResponseFormula Context triple: [Universal Prayer, commonResponseFormula, Lord, hear our prayer]
-
A.
typicalResponseFormula
chosen
Indicates that there is a standard or characteristic formula that typically represents the response associated with the given entities or situation.
-
B.
responseFormula
Indicates that one entity’s reaction, reply, or outcome is expressed or encoded in a specific formula or structured representation.
-
C.
responseLanguageFormula
Indicates that one entity specifies or encodes the language or linguistic form in which another entity’s response, expression, or output is formulated.
-
D.
formulaUsed
Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
-
E.
formulaType
Indicates the specific kind or category of formula associated with an entity or expression.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 22, 2026, 5:05 a.m.