Triple
T2749383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Mursalat |
E60947
|
entity |
| Predicate | categoryInTafsir |
P39732
|
FINISHED |
| Object | Makki surah dealing with eschatology |
—
|
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: Makki surah dealing with eschatology | Statement: [Surah Al-Mursalat, categoryInTafsir, Makki surah dealing with eschatology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryInTafsir Context triple: [Surah Al-Mursalat, categoryInTafsir, Makki surah dealing with eschatology]
-
A.
categoryDefinedIn
Indicates that a category is formally specified or established within a particular source, context, or definitional framework.
-
B.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
C.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
D.
quranicVerse
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
E.
classificationTerm
chosen
Indicates that one entity serves as a categorical label or type used to classify or group another entity.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.