Triple
T36406175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic root R-Š-D (رشَد) |
E896753
|
entity |
| Predicate | quranicDerivative |
P185738
|
FINISHED |
| Object | الرَّشِيد (al-Rashīd) |
—
|
NE NERFINISHED |
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: الرَّشِيد (al-Rashīd) | Statement: [Arabic root R-Š-D (رشَد), quranicDerivative, الرَّشِيد (al-Rashīd)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicDerivative Context triple: [Arabic root R-Š-D (رشَد), quranicDerivative, الرَّشِيد (al-Rashīd)]
-
A.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
B.
quranicVerse
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
C.
hasQuranicEquivalent
Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
-
D.
quranicContext
Indicates that something is situated within, derived from, or directly related to the textual, historical, or thematic context of the Quran.
-
E.
quranManzil
Indicates a relationship where a portion of the Quran is assigned or associated as a specific “manzil” (section) for recitation or division purposes.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.