Triple
T21590802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahl al-Kitab |
E532771
|
entity |
| Predicate | hasVariantView |
P144068
|
FINISHED |
| Object | Some Muslim scholars include Sabians among Ahl al-Kitab |
—
|
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: Some Muslim scholars include Sabians among Ahl al-Kitab | Statement: [Ahl al-Kitab, hasVariantView, Some Muslim scholars include Sabians among Ahl al-Kitab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariantView Context triple: [Ahl al-Kitab, hasVariantView, Some Muslim scholars include Sabians among Ahl al-Kitab]
-
A.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
hasVariantUsage
Indicates that an entity is used in an alternative or non-standard way compared to its primary or canonical usage.
-
C.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
D.
hasVariantSystem
Indicates that one system is an alternative or variant form of another system within the same general framework or category.
-
E.
hasVariantRole
Indicates that an entity participates in a context or process while assuming an alternative or modified role compared to its primary or canonical role.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefaddc8508190950b31e2df865ad1 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.