Triple
T11496944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musabbihat surahs |
E272557
|
entity |
| Predicate | alternativeCounting |
P99808
|
FINISHED |
| Object | some scholars count five or more depending on criteria |
—
|
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: some scholars count five or more depending on criteria | Statement: [Musabbihat surahs, alternativeCounting, some scholars count five or more depending on criteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeCounting Context triple: [Musabbihat surahs, alternativeCounting, some scholars count five or more depending on criteria]
-
A.
areCountedBy
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
B.
alternativeScoring
Indicates that there exists an additional or non-standard method of scoring or evaluation associated with the primary scoring system or context.
-
C.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
D.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
E.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de183f08190abfa36eaabc61dc6 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.