Triple
T38598820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missa |
E934154
|
entity |
| Predicate | usesSectionOfMassOrdinary |
P180951
|
FINISHED |
| Object | Kyrie |
—
|
NE NERFINISHED |
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: Kyrie | Statement: [Missa, usesSectionOfMassOrdinary, Kyrie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSectionOfMassOrdinary Context triple: [Missa, usesSectionOfMassOrdinary, Kyrie]
-
A.
usesSectionOf
chosen
Indicates that one entity makes use of a specific section or part of another entity.
-
B.
holdsRegularMasses
Indicates that an entity routinely conducts or hosts religious mass services on a regular schedule.
-
C.
hasMasses
Indicates that one entity possesses or is associated with one or more masses (quantities of matter).
-
D.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
E.
systemUsedToDetermineMassOf
Indicates a relationship where a system is employed as the method or tool to measure or calculate the mass of something.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 3, 2026, 4:32 p.m.