Triple
T9220581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كسوة الكعبة |
E221348
|
entity |
| Predicate | الوظيفة الدينية |
P2330
|
FINISHED |
| Object | تعظيم شعائر الله |
—
|
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: تعظيم شعائر الله | Statement: [كسوة الكعبة, الوظيفة الدينية, تعظيم شعائر الله]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوظيفة الدينية Context triple: [كسوة الكعبة, الوظيفة الدينية, تعظيم شعائر الله]
-
A.
الديانة
Indicates the religious affiliation or faith tradition that an entity follows or is associated with.
-
B.
religiousFunction
chosen
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
C.
eraOfReligiousFunction
Indicates the historical time period during which a religious role, office, or function was actively performed or held.
-
D.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda75b6888190814cfb890e763b8f |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.