Triple
T24250054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messa di Santa Cecilia |
E603496
|
entity |
| Predicate | hasLiturgicalTextSource |
P74946
|
FINISHED |
| Object | Ordinary of the Mass |
—
|
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: Ordinary of the Mass | Statement: [Messa di Santa Cecilia, hasLiturgicalTextSource, Ordinary of the Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiturgicalTextSource Context triple: [Messa di Santa Cecilia, hasLiturgicalTextSource, Ordinary of the Mass]
-
A.
hasLiturgicalTexts
Indicates that an entity possesses or is associated with specific liturgical texts used in religious worship or ceremonies.
-
B.
hasLiturgicalBook
Indicates that one entity possesses, uses, or is associated with a specific liturgical book in a religious or worship context.
-
C.
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.
-
D.
liturgicalTextsFoundIn
chosen
Indicates that certain liturgical texts are located in, originate from, or are associated with a particular place or source.
-
E.
hasSacredText
Indicates that an entity possesses or is associated with a particular sacred or religious text.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b889798819086769788f188c9eb |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.