Triple
T3225641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Ash-Sharh |
E67614
|
entity |
| Predicate | keyMessage |
P33455
|
FINISHED |
| Object | with hardship comes ease |
—
|
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: with hardship comes ease | Statement: [Surah Ash-Sharh, keyMessage, with hardship comes ease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyMessage Context triple: [Surah Ash-Sharh, keyMessage, with hardship comes ease]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyText
Indicates that a piece of text functions as a key or identifier used to access, reference, or unlock something in a system or context.
-
C.
keyComponent
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
-
D.
keyPassage
Indicates that a specific passage or excerpt is identified as especially important, central, or representative within a larger text or discourse.
-
E.
keySaying
chosen
Indicates that an entity is a notable or characteristic saying, phrase, or quotation associated with another entity.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.