Triple
T9220590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كسوة الكعبة |
E221348
|
entity |
| Predicate | تُوزع أجزاؤها القديمة على |
P48598
|
FINISHED |
| Object | بعض الشخصيات والجهات الرسمية |
—
|
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: بعض الشخصيات والجهات الرسمية | Statement: [كسوة الكعبة, تُوزع أجزاؤها القديمة على, بعض الشخصيات والجهات الرسمية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُوزع أجزاؤها القديمة على Context triple: [كسوة الكعبة, تُوزع أجزاؤها القديمة على, بعض الشخصيات والجهات الرسمية]
-
A.
previousDistribution
Indicates that one distribution event or state occurred immediately before another in a sequence.
-
B.
hasPartInLegacy
Indicates that an entity includes another entity as a component or constituent specifically within its legacy or historically inherited structure.
-
C.
distributesAs
chosen
Indicates that one entity allocates or hands out something (such as resources, items, or information) to multiple other entities according to some plan or rule.
-
D.
traditionallyDividedInto
Indicates that something is customarily or historically separated into specific parts, sections, or categories according to established tradition.
-
E.
distributesContentTo
Indicates that one entity delivers or makes content available to another entity or set of entities.
- 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.