Triple
T4838700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Rosary |
E108126
|
entity |
| Predicate | traditionalNumberOfDecades |
P21753
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Holy Rosary, traditionalNumberOfDecades, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalNumberOfDecades Context triple: [Holy Rosary, traditionalNumberOfDecades, 15]
-
A.
containsNumberOfDecades
chosen
Indicates that something includes or spans a specified number of ten-year periods (decades).
-
B.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
C.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
D.
decade
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
E.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.