Triple
T26309209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaysh al-‘Usrah |
E661771
|
entity |
| Predicate | associatedWithQuranicTheme |
P75738
|
FINISHED |
| Object | hardship and perseverance |
—
|
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: hardship and perseverance | Statement: [Jaysh al-‘Usrah, associatedWithQuranicTheme, hardship and perseverance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithQuranicTheme Context triple: [Jaysh al-‘Usrah, associatedWithQuranicTheme, hardship and perseverance]
-
A.
themeInQuran
chosen
Indicates that a particular theme, concept, or topic is present in and addressed by the Quran.
-
B.
quranicDerivative
Indicates that one entity is a linguistic form or term derived from, based on, or morphologically related to a word or concept found in the Quran.
-
C.
isAssociatedWithReligiousText
Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
-
D.
basedOnQuranVerse
Indicates that something is derived from, inspired by, or directly references a specific verse of the Quran.
-
E.
quranicContext
Indicates that something is situated within, derived from, or directly related to the textual, historical, or thematic context of the Quran.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: April 26, 2026, 10:21 p.m.