Triple
T30976030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رمز لقدسية الكعبة |
E789232
|
entity |
| Predicate | يُعظَّم من قبل |
P137530
|
FINISHED |
| Object | المسلمين في أنحاء العالم |
—
|
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: المسلمين في أنحاء العالم | Statement: [رمز لقدسية الكعبة, يُعظَّم من قبل, المسلمين في أنحاء العالم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعظَّم من قبل Context triple: [رمز لقدسية الكعبة, يُعظَّم من قبل, المسلمين في أنحاء العالم]
-
A.
enhancedBy
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of another entity.
-
B.
helpedBoostProminenceOf
Indicates that one entity contributed to increasing the visibility, recognition, or prominence of another entity.
-
C.
veneratedBefore
Indicates that one entity was honored or revered at an earlier time or prior to another entity.
-
D.
glorifies
Indicates that one entity praises, exalts, or represents another in an admiring or honor-enhancing way.
-
E.
elevatedInProminenceBy
chosen
Indicates that an entity’s prominence, status, or visibility is increased as a result of the actions or influence of another entity.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:55 p.m.