Triple
T11496945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musabbihat surahs |
E272557
|
entity |
| Predicate | criteriaOfInclusion |
P136
|
FINISHED |
| Object | surahs whose first verse explicitly contains a tasbih verb or phrase |
—
|
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: surahs whose first verse explicitly contains a tasbih verb or phrase | Statement: [Musabbihat surahs, criteriaOfInclusion, surahs whose first verse explicitly contains a tasbih verb or phrase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criteriaOfInclusion Context triple: [Musabbihat surahs, criteriaOfInclusion, surahs whose first verse explicitly contains a tasbih verb or phrase]
-
A.
legalCriteriaInclude
Indicates that certain legal criteria are contained within, or form part of, a broader set of legal requirements or conditions.
-
B.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
C.
eligibilityCriteria
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
D.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
E.
conditionStudied
Indicates that a particular condition (e.g., disease, state, or circumstance) is the focus of study or investigation in a given context.
- 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_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. |
Created at: April 8, 2026, 9:36 p.m.