Triple
T26500310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الملك فهد بن عبد العزيز آل سعود |
E669400
|
entity |
| Predicate | اتخذ لقب |
P129847
|
FINISHED |
| Object | خادم الحرمين الشريفين بدلاً من جلالة الملك |
—
|
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: خادم الحرمين الشريفين بدلاً من جلالة الملك | Statement: [الملك فهد بن عبد العزيز آل سعود, اتخذ لقب, خادم الحرمين الشريفين بدلاً من جلالة الملك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اتخذ لقب Context triple: [الملك فهد بن عبد العزيز آل سعود, اتخذ لقب, خادم الحرمين الشريفين بدلاً من جلالة الملك]
-
A.
tookTitleFrom
chosen
Indicates that one entity adopted or derived its title, name, or designation from another entity.
-
B.
سبقه لقب
Indicates that one entity’s title or honorific preceded another entity in time or order.
-
C.
tookHeadOf
Indicates that one entity removed or claimed the head (literal or symbolic) of another entity.
-
D.
उपाधि
Indicates that an entity holds or is designated by a particular title, rank, or honorific.
-
E.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61359bf448190bca39cbd22a9f023 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:12 a.m.