Triple
T3896931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naqshbandi |
E90393
|
entity |
| Predicate | dhikrStyle |
P1105
|
FINISHED |
| Object | silent remembrance |
—
|
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: silent remembrance | Statement: [Naqshbandi, dhikrStyle, silent remembrance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dhikrStyle Context triple: [Naqshbandi, dhikrStyle, silent remembrance]
-
A.
prayerCall
Indicates that one entity issues or performs a call to prayer directed toward others.
-
B.
worshipStyle
chosen
Indicates the manner or form in which worship or religious devotion is practiced or expressed.
-
C.
optionalRakatsType
Indicates that a particular type or number of rakats (units of Islamic prayer) is optionally associated with or applicable to an action, event, or prayer.
-
D.
SufiOrder
Indicates a relationship in which an entity is affiliated with, belongs to, or is a member of a specific Sufi order.
-
E.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.