Triple
T10336869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunan collections |
E243030
|
entity |
| Predicate | languageOfPrimaryCompilation |
P93765
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [Sunan collections, languageOfPrimaryCompilation, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPrimaryCompilation Context triple: [Sunan collections, languageOfPrimaryCompilation, Arabic]
-
A.
languageOfPrimaryProgramming
Indicates the programming language that is primarily used to implement or develop a given entity.
-
B.
compilerLanguage
Indicates that one entity is the programming language in which a given compiler is implemented.
-
C.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
D.
programmingLanguageCompiled
Indicates that a programming language is translated into machine code by a compiler before its programs are executed.
-
E.
programLanguage
Indicates that an entity is implemented, written, or expressed using a particular programming language.
- F. None of above. chosen
Provenance (4 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:54 a.m.