Triple
T6288340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordinary of the Mass |
E140953
|
entity |
| Predicate | timePeriodStandardized |
P26601
|
FINISHED |
| Object | Tridentine reform of the 16th century |
—
|
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: Tridentine reform of the 16th century | Statement: [Ordinary of the Mass, timePeriodStandardized, Tridentine reform of the 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodStandardized Context triple: [Ordinary of the Mass, timePeriodStandardized, Tridentine reform of the 16th century]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timePeriodCategory
Indicates the classification of a time period into a specific category or type (e.g., era, phase, or temporal grouping).
-
C.
timePeriodOfStandardization
chosen
Indicates the time span during which a particular standard was formally established or in effect.
-
D.
timePeriodRecognized
Indicates that a specific span of time has been formally identified or acknowledged as significant or valid within a given context.
-
E.
timePeriodAnalyzed
Indicates that a specified time period is the focus or scope of an analysis or evaluation.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:26 p.m.