Triple
T12765006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | من حيث ترتيب النزول |
P104872
|
FINISHED |
| Object | السورة السادسة والثمانون تقريباً |
—
|
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: السورة السادسة والثمانون تقريباً | Statement: [سورة المطففين, من حيث ترتيب النزول, السورة السادسة والثمانون تقريباً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من حيث ترتيب النزول Context triple: [سورة المطففين, من حيث ترتيب النزول, السورة السادسة والثمانون تقريباً]
-
A.
من حيث النزول
chosen
Indicates the relationship of a text to its place or context of revelation or descent (e.g., where or in what circumstances it was revealed).
-
B.
lowerRankedOrder
Indicates that one entity holds a lower rank or priority in an ordered sequence relative to another entity.
-
C.
orderedToward
Indicates that one entity is arranged, directed, or positioned in the direction of another entity or reference point.
-
D.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
-
E.
placedInOrderBy
Indicates that one entity was arranged or positioned according to a sequence or priority determined by 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.