Triple
T9220578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كسوة الكعبة |
E221348
|
entity |
| Predicate | اللغة المكتوبة |
P12727
|
FINISHED |
| Object | اللغة العربية |
—
|
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: اللغة العربية | Statement: [كسوة الكعبة, اللغة المكتوبة, اللغة العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللغة المكتوبة Context triple: [كسوة الكعبة, اللغة المكتوبة, اللغة العربية]
-
A.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
-
B.
currentlyWrittenIn
Indicates that a work or document is, at the present time, expressed or composed in a particular language or writing system.
-
C.
writtenIn
chosen
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
D.
writesLanguage
Indicates that an entity produces written content in a particular language.
-
E.
written
Indicates that one entity has created or authored a text, document, or written work involving or about another 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.