Triple
T33663364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companions of the Right |
E862414
|
entity |
| Predicate | quranicGroupingAlongWith |
P84988
|
FINISHED |
| Object | Foremost (As-Sabiqun) |
—
|
NE NERFINISHED |
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: Foremost (As-Sabiqun) | Statement: [Companions of the Right, quranicGroupingAlongWith, Foremost (As-Sabiqun)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicGroupingAlongWith Context triple: [Companions of the Right, quranicGroupingAlongWith, Foremost (As-Sabiqun)]
-
A.
groupedWithInQuran
chosen
Indicates that two or more entities are mentioned together or treated as a unit within the same grouping or context in the Quran.
-
B.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
C.
quranicChapterType
Indicates the classification relationship that specifies what type or category a given Quranic chapter belongs to.
-
D.
quranicContext
Indicates that something is situated within, derived from, or directly related to the textual, historical, or thematic context of the Quran.
-
E.
quranicTermType
Indicates the classification relationship that specifies what type or category a given Qur'anic term belongs to.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:42 a.m.