Triple
T1087070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Litany |
E24075
|
entity |
| Predicate | modeOfRecitation |
P5072
|
FINISHED |
| Object | chanted |
—
|
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: chanted | Statement: [Great Litany, modeOfRecitation, chanted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfRecitation Context triple: [Great Litany, modeOfRecitation, chanted]
-
A.
recitationTradition
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
-
B.
mode
chosen
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
C.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
D.
hasLiturgicalReading
Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
-
E.
readPoemAt
Indicates that an entity reads or performs a poem at a specific time, place, or event.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.