Triple
T25606380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ar-Ra'd |
E641923
|
entity |
| Predicate | openingDisjointedLetters |
P100500
|
FINISHED |
| Object | Alif Lam Mim Ra |
—
|
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: Alif Lam Mim Ra | Statement: [Ar-Ra'd, openingDisjointedLetters, Alif Lam Mim Ra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingDisjointedLetters Context triple: [Ar-Ra'd, openingDisjointedLetters, Alif Lam Mim Ra]
-
A.
openingShape
Indicates the geometric or structural form that characterizes how something is opened or the configuration of its opening.
-
B.
openingStyle
Indicates how something is initially presented, introduced, or begun in terms of manner, format, or approach.
-
C.
openingCharacter
chosen
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
D.
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.
-
E.
openingDynamic
Indicates that one entity initiates or begins another entity or process in a way that can change or vary over time or context.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9aa9b6881909fd56b8a85534062 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:38 p.m.