Triple
T30975996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رمز لقدسية الكعبة |
E789232
|
entity |
| Predicate | يعبر عن |
P4750
|
FINISHED |
| Object | حرمة البيت الحرام |
—
|
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: حرمة البيت الحرام | Statement: [رمز لقدسية الكعبة, يعبر عن, حرمة البيت الحرام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يعبر عن Context triple: [رمز لقدسية الكعبة, يعبر عن, حرمة البيت الحرام]
-
A.
expresses
chosen
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
B.
expressedThrough
Indicates that something (such as an idea, emotion, or content) is conveyed, manifested, or communicated by means of a particular medium, form, or channel.
-
C.
expressesRelationBetween
Indicates that one entity conveys, communicates, or articulates a specific relationship or connection between two or more entities.
-
D.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
E.
resents
Indicates that one entity feels bitterness, anger, or lingering ill will toward another, typically due to a perceived wrong or unfair treatment.
- 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.