Triple
T12764984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | تفتتح بقسم أو وعيد |
P54438
|
FINISHED |
| Object | وَيْلٌ لِلْمُطَفِّفِينَ |
—
|
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: وَيْلٌ لِلْمُطَفِّفِينَ | Statement: [سورة المطففين, تفتتح بقسم أو وعيد, وَيْلٌ لِلْمُطَفِّفِينَ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بقسم أو وعيد Context triple: [سورة المطففين, تفتتح بقسم أو وعيد, وَيْلٌ لِلْمُطَفِّفِينَ]
-
A.
isOpeningSectionOf
chosen
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
B.
openedWithSection
Indicates that something (such as a document, file, or resource) is opened starting from or via a specific section.
-
C.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
-
D.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
E.
openedSegmentBySegment
Indicates that something was opened gradually in distinct parts or stages, rather than all at once.
- 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.