Triple
T1492578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah At-Tawbah |
E29613
|
entity |
| Predicate | openingFormula |
P2310
|
FINISHED |
| Object | does not begin with "Bismillah ar-Rahman ar-Rahim" |
—
|
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: does not begin with "Bismillah ar-Rahman ar-Rahim" | Statement: [Surah At-Tawbah, openingFormula, does not begin with "Bismillah ar-Rahman ar-Rahim"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingFormula Context triple: [Surah At-Tawbah, openingFormula, does not begin with "Bismillah ar-Rahman ar-Rahim"]
-
A.
openingAnswer
Indicates that an entity provides an initial or first response in a dialogue, interaction, or sequence of answers.
-
B.
openingElement
Indicates that one entity serves as the initial or starting element within a structured sequence, group, or construct in relation to another.
-
C.
keyFormula
chosen
Indicates that a formula serves as the primary or defining expression associated with an entity or relationship.
-
D.
openingVerb
Indicates that an entity performs the initial or primary action that begins an event, process, or interaction.
-
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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.