Triple
T8990304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | خادم الحرمين الشريفين |
E214770
|
entity |
| Predicate | يظهر_في |
P795
|
FINISHED |
| Object | الخطابات الرسمية لملك السعودية |
—
|
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: الخطابات الرسمية لملك السعودية | Statement: [خادم الحرمين الشريفين, يظهر_في, الخطابات الرسمية لملك السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يظهر_في Context triple: [خادم الحرمين الشريفين, يظهر_في, الخطابات الرسمية لملك السعودية]
-
A.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
B.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
C.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
D.
appearsAs
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
E.
apparentIn
Indicates that something is visibly present, manifested, or evident within or through another thing 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68733548819096a5ba0ff41e43da |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.