Triple
T13836405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighteen Benedictions |
E332540
|
entity |
| Predicate | numberOfOriginalBlessings |
P45627
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Eighteen Benedictions, numberOfOriginalBlessings, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOriginalBlessings Context triple: [Eighteen Benedictions, numberOfOriginalBlessings, 18]
-
A.
originalNumberOfBlessings
chosen
Indicates the initial total count of blessings associated with an entity before any changes or adjustments occur.
-
B.
blessedBy
Indicates that one entity has conferred a blessing, favor, or sacred endorsement upon another entity.
-
C.
numberOfBlessingsMorning
Indicates the quantity of blessings or devotional recitations prescribed or performed in the morning.
-
D.
associatedWithBlessing
Indicates a relationship in which an entity is connected to, linked with, or characterized by a blessing or act of blessing.
-
E.
numberOfBlessingsWeekday
Indicates the number of blessings associated with or occurring on a specific weekday.
- 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_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. |
Created at: April 9, 2026, 10:13 p.m.