Triple
T12765008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | من أسماء يوم القيامة المذكورة فيها |
P89069
|
FINISHED |
| Object | يوم عظيم |
—
|
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: يوم عظيم | Statement: [سورة المطففين, من أسماء يوم القيامة المذكورة فيها, يوم عظيم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من أسماء يوم القيامة المذكورة فيها Context triple: [سورة المطففين, من أسماء يوم القيامة المذكورة فيها, يوم عظيم]
-
A.
ذُكر_في
chosen
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
B.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
C.
namesDay
Indicates that one entity is the name assigned to a particular day (such as a weekday or holiday) associated with another entity.
-
D.
day1Name
Indicates the name or label assigned to the first day in a sequence or schedule.
-
E.
hasLiturgicalMention
Indicates that one entity is referenced or mentioned within the liturgical texts, practices, or rites associated with 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.