Triple
T13836406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighteen Benedictions |
E332540
|
entity |
| Predicate | currentNumberOfBlessings |
P111697
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Eighteen Benedictions, currentNumberOfBlessings, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNumberOfBlessings Context triple: [Eighteen Benedictions, currentNumberOfBlessings, 19]
-
A.
originalNumberOfBlessings
Indicates the initial total count of blessings associated with an entity before any changes or adjustments occur.
-
B.
numberOfBlessingsWeekday
Indicates the number of blessings associated with or occurring on a specific weekday.
-
C.
numberOfBlessingsMorning
Indicates the quantity of blessings or devotional recitations prescribed or performed in the morning.
-
D.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
E.
numberOfBlessingsEvening
Indicates the count of blessings associated with the evening time for an entity.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029b352081909605baaedc336213 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.