Triple
T9220571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كسوة الكعبة |
E221348
|
entity |
| Predicate | الجهة المشرفة |
P25764
|
FINISHED |
| Object | المملكة العربية 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: المملكة العربية السعودية | Statement: [كسوة الكعبة, الجهة المشرفة, المملكة العربية السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الجهة المشرفة Context triple: [كسوة الكعبة, الجهة المشرفة, المملكة العربية السعودية]
-
A.
governingOffice
Indicates the official position or office through which an entity exercises governing authority over a jurisdiction or organization.
-
B.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
C.
supervisesMinistry
Indicates that one entity has authoritative oversight and managerial responsibility for the operations and activities of a ministry.
-
D.
overseesDivision
Indicates that one entity has managerial or supervisory responsibility over a specific division of an organization.
-
E.
governingEntityName
chosen
Indicates the name of the organization, body, or authority that governs, manages, or has official control over the referenced 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda75b6888190814cfb890e763b8f |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.