Triple
T30976031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رمز لقدسية الكعبة |
E789232
|
entity |
| Predicate | يُجسِّد |
P1581
|
FINISHED |
| Object | مركزية الكعبة في حياة المسلم الروحية |
—
|
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: مركزية الكعبة في حياة المسلم الروحية | Statement: [رمز لقدسية الكعبة, يُجسِّد, مركزية الكعبة في حياة المسلم الروحية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُجسِّد Context triple: [رمز لقدسية الكعبة, يُجسِّد, مركزية الكعبة في حياة المسلم الروحية]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
resents
Indicates that one entity feels bitterness, anger, or lingering ill will toward another, typically due to a perceived wrong or unfair treatment.
-
C.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
D.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
E.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
- 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.