Triple
T38189464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 83:18 |
E1005411
|
entity |
| Predicate | mentionsCategory |
P135493
|
FINISHED |
| Object | al-Abrar (the righteous) |
—
|
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: al-Abrar (the righteous) | Statement: [Quran 83:18, mentionsCategory, al-Abrar (the righteous)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionsCategory Context triple: [Quran 83:18, mentionsCategory, al-Abrar (the righteous)]
-
A.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
B.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
subjectCategories
chosen
Indicates that an entity is associated with one or more subject-based categories or classifications.
-
E.
matchCategory
Indicates that two or more entities belong to the same category or share an equivalent classification.
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:29 p.m.