Triple
T3393637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah At-Takathur |
E71475
|
entity |
| Predicate | verse2Arabic |
P17618
|
FINISHED |
| Object | حَتَّىٰ زُرْتُمُ الْمَقَابِرَ |
—
|
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: حَتَّىٰ زُرْتُمُ الْمَقَابِرَ | Statement: [Surah At-Takathur, verse2Arabic, حَتَّىٰ زُرْتُمُ الْمَقَابِرَ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verse2Arabic Context triple: [Surah At-Takathur, verse2Arabic, حَتَّىٰ زُرْتُمُ الْمَقَابِرَ]
-
A.
quranicVerse
chosen
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
B.
refrainTranslation
Indicates that one expression is a translation of the repeated or recurring part (refrain) of another expression, typically in a different language.
-
C.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
-
D.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
E.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.