Triple
T7402103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة براءة |
E170772
|
entity |
| Predicate | juzStart |
P34330
|
FINISHED |
| Object | بداية الجزء العاشر |
—
|
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: بداية الجزء العاشر | Statement: [سورة براءة, juzStart, بداية الجزء العاشر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juzStart Context triple: [سورة براءة, juzStart, بداية الجزء العاشر]
-
A.
juz
Indicates a judgment or evaluation made about one entity in relation to another.
-
B.
hasJuzCount
Indicates that an entity (such as a text or document) is associated with a specific number of Juz (sections or parts).
-
C.
hasJuzRange
Indicates that an entity (such as a text or passage) spans, is associated with, or falls within a specified range of Juz segments.
-
D.
quranicJuz
chosen
Indicates that a specific portion or passage belongs to, or is contained within, a particular Juz (section) of the Quran.
-
E.
beganRuleInHejaz
Indicates the time or event at which a person or group started exercising political rule or governance in the Hejaz region.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.