Triple
T9220733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahada |
E221351
|
entity |
| Predicate | recitationCondition |
P87660
|
FINISHED |
| Object | must be recited with understanding |
—
|
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: must be recited with understanding | Statement: [Shahada, recitationCondition, must be recited with understanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationCondition Context triple: [Shahada, recitationCondition, must be recited with understanding]
-
A.
recitationSetting
Indicates the context or environment in which a recitation takes place, such as the type, location, or format of the recitation event.
-
B.
recitationStatus
Indicates the current state or condition of a recitation activity or session, such as whether it is planned, ongoing, completed, or canceled.
-
C.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
-
D.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
E.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda75b6888190814cfb890e763b8f |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:28 p.m.