Triple
T20319876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الطور |
E492180
|
entity |
| Predicate | مقدس_لدى |
P8131
|
FINISHED |
| Object | اليهودية |
—
|
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: اليهودية | Statement: [الطور, مقدس_لدى, اليهودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مقدس_لدى Context triple: [الطور, مقدس_لدى, اليهودية]
-
A.
holiestSiteIn
Indicates that a site is considered the most sacred or religiously significant location within a particular place or region.
-
B.
sacredTo
chosen
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
C.
holyMountain
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
D.
sacredStatus
Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
-
E.
hasReligiousSignificanceVia
Indicates that something holds religious significance specifically by means of, or through the mediation of, another entity, event, or context.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b23a0788190bf1853ef5b81823f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:20 a.m.