Triple
T2869999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Inshiqaq |
E63535
|
entity |
| Predicate | remindsOf |
P831
|
FINISHED |
| Object | certainty of resurrection |
—
|
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: certainty of resurrection | Statement: [Surah Al-Inshiqaq, remindsOf, certainty of resurrection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remindsOf Context triple: [Surah Al-Inshiqaq, remindsOf, certainty of resurrection]
-
A.
rememberedFor
Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
-
B.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
C.
recall
Indicates that an entity retrieves or brings back into awareness information, events, or items that were previously known, experienced, or stored.
-
D.
mentions
chosen
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
-
E.
recalledIn
Indicates that an entity is mentioned, remembered, or brought up again within a specific context, such as a document, conversation, or event.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe15ff081908dd1dad62c292b2b |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.