Triple
T158476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosary |
E3228
|
entity |
| Predicate | decadeDefinition |
P6831
|
FINISHED |
| Object | one Our Father, ten Hail Marys, one Glory Be |
—
|
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: one Our Father, ten Hail Marys, one Glory Be | Statement: [Rosary, decadeDefinition, one Our Father, ten Hail Marys, one Glory Be]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeDefinition Context triple: [Rosary, decadeDefinition, one Our Father, ten Hail Marys, one Glory Be]
-
A.
usedInDecade
Indicates that something was in use or commonly utilized during a specified decade.
-
B.
publicationDecade
Indicates the decade during which a publication was released or made publicly available.
-
C.
activeInDecade
Indicates that an entity was active or engaged in its primary activities during a specified decade.
-
D.
declineBeganInDecade
Indicates that the period of decline for an entity or phenomenon started during the specified decade.
-
E.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
- F. None of above. chosen
Provenance (4 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.