Triple
T32752414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Hawamim |
E837531
|
entity |
| Predicate | endsWithInQuran |
P175072
|
FINISHED |
| Object | Surah Al-Ahqaf |
—
|
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: Surah Al-Ahqaf | Statement: [Al-Hawamim, endsWithInQuran, Surah Al-Ahqaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endsWithInQuran Context triple: [Al-Hawamim, endsWithInQuran, Surah Al-Ahqaf]
-
A.
endsWithArabic
Indicates that one entity’s content or representation terminates with Arabic script or characters.
-
B.
hasQuranicEquivalent
Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
-
C.
hasCanonicalOrderInQuran
Indicates that there is a specific, officially recognized sequence or position of something within the canonical ordering of the Quran.
-
D.
hasQuranicVerseReference
Indicates that an entity is associated with, or refers to, a specific verse or verses from the Quran.
-
E.
containsLastTwoVersesOfSurah
Indicates that one entity includes or encompasses the final two verses of a specified Surah.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:12 a.m.