Triple
T33289063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakhrah |
E852263
|
entity |
| Predicate | hasArabicDefiniteForm |
P5228
|
FINISHED |
| Object | الصخرة المشرفة |
—
|
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: الصخرة المشرفة | Statement: [Sakhrah, hasArabicDefiniteForm, الصخرة المشرفة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArabicDefiniteForm Context triple: [Sakhrah, hasArabicDefiniteForm, الصخرة المشرفة]
-
A.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
B.
hasArabComponent
Indicates that something includes or contains an Arab-related part, element, or component as one of its constituents.
-
C.
hasDefiniteArticle
chosen
Indicates that the referenced entity or term is accompanied by a definite article (such as "the") in the given context.
-
D.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
E.
hasKeyTermArabic
Indicates that an entity is associated with a specific key term expressed in the Arabic language.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 1, 2026, 1:32 a.m.