Triple
T3508430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Kawthar |
E74137
|
entity |
| Predicate | verse2 |
P48412
|
FINISHED |
| Object | فَصَلِّ لِرَبِّكَ وَانْحَرْ |
—
|
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: فَصَلِّ لِرَبِّكَ وَانْحَرْ | Statement: [Surah Al-Kawthar, verse2, فَصَلِّ لِرَبِّكَ وَانْحَرْ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verse2 Context triple: [Surah Al-Kawthar, verse2, فَصَلِّ لِرَبِّكَ وَانْحَرْ]
-
A.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
-
B.
refrain
Indicates that an entity deliberately holds back from performing a particular action or behavior.
-
C.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
D.
refrainTranslation
Indicates that one expression is a translation of the repeated or recurring part (refrain) of another expression, typically in a different language.
-
E.
verseForm
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:18 p.m.