Triple
T27620288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يوم القيامة |
E700558
|
entity |
| Predicate | يبدأ بـ |
P12097
|
FINISHED |
| Object | قيام الناس لرب العالمين |
—
|
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: قيام الناس لرب العالمين | Statement: [يوم القيامة, يبدأ بـ, قيام الناس لرب العالمين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يبدأ بـ Context triple: [يوم القيامة, يبدأ بـ, قيام الناس لرب العالمين]
-
A.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
B.
beganWith
chosen
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
C.
تفتتح بالنداء
Indicates that an utterance or text begins with a vocative call or address to someone.
-
D.
beginsWithFilm
Indicates that one entity (typically a series, collection, or sequence) starts or is initiated with a particular film as its first element.
-
E.
exportStart
Indicates the point in time or event at which an export process or outbound transfer of goods, data, or resources begins.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:14 p.m.