Triple
T15577679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة لهب |
E374409
|
entity |
| Predicate | ترتيبها في النزول |
P117036
|
FINISHED |
| Object | من أوائل السور المكية نزولا |
—
|
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: من أوائل السور المكية نزولا | Statement: [سورة لهب, ترتيبها في النزول, من أوائل السور المكية نزولا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتيبها في النزول Context triple: [سورة لهب, ترتيبها في النزول, من أوائل السور المكية نزولا]
-
A.
ترتيبها نزولًا (على الأرجح)
chosen
Indicates that items are arranged in descending order, most likely from largest or highest value to smallest or lowest.
-
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.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
E.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.