Triple
T14436707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الهمزة |
E357981
|
entity |
| Predicate | تفتتح بالحرف |
P3818
|
FINISHED |
| Object | و |
—
|
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: و | Statement: [سورة الهمزة, تفتتح بالحرف, و]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بالحرف Context triple: [سورة الهمزة, تفتتح بالحرف, و]
-
A.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
B.
firstLetter
chosen
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
openingMovementCharacter
Indicates the characteristic or quality that defines how the opening movement of a work is expressed or perceived.
-
D.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
E.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.