Triple
T6087806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Litany |
E135683
|
entity |
| Predicate | typicalPetitionFormula |
P12789
|
FINISHED |
| Object | Again and again in peace let us pray 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: Again and again in peace let us pray to the Lord | Statement: [Little Litany, typicalPetitionFormula, Again and again in peace let us pray to the Lord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPetitionFormula Context triple: [Little Litany, typicalPetitionFormula, Again and again in peace let us pray to the Lord]
-
A.
containsPetition
Indicates that one entity includes or holds a petition within it, either as content or as a component.
-
B.
petitionFormula
Indicates a formal written request or appeal made by one party to another, typically to an authority, following a specific formula or structured format.
-
C.
typicalForm
chosen
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
D.
protestForm
Indicates the specific method or mode by which a protest or demonstration is carried out.
-
E.
languageOfPetition
Indicates the language in which a petition is written, submitted, or officially recorded.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.