Triple
T12383552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An-Naba |
E295802
|
entity |
| Predicate | openingVerseTransliteration |
P104676
|
FINISHED |
| Object | ʿAmma yatasa'alūn |
—
|
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: ʿAmma yatasa'alūn | Statement: [An-Naba, openingVerseTransliteration, ʿAmma yatasa'alūn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingVerseTransliteration Context triple: [An-Naba, openingVerseTransliteration, ʿAmma yatasa'alūn]
-
A.
openingVerseTranslation
Indicates the specific translated rendering of the opening verse of a text or work.
-
B.
openingVerseType
Indicates the specific kind or category of an opening verse used at the beginning of a text, performance, or composition.
-
C.
hasOpeningVerseMeaning
Indicates that something (such as a text, song, or poem) possesses an opening verse that conveys a particular meaning or message.
-
D.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
E.
openingVerseTheme
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.