Triple
T1433533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Yusuf |
E30504
|
entity |
| Predicate | closingTheme |
P28461
|
FINISHED |
| Object | lessons for people of understanding |
—
|
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: lessons for people of understanding | Statement: [Surah Yusuf, closingTheme, lessons for people of understanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingTheme Context triple: [Surah Yusuf, closingTheme, lessons for people of understanding]
-
A.
closingSituation
Indicates a situation or context in which an interaction, event, or process is coming to an end or being brought to a close.
-
B.
closingFeatures
Indicates that an entity has specific characteristics, terms, or attributes associated with the act or process of closing (e.g., ending, shutting down, or finalizing something).
-
C.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
D.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
E.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
- F. None of above. chosen
Provenance (4 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.