Triple
T17589255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Zayd |
E428401
|
entity |
| Predicate | namingComponentOf |
P90387
|
FINISHED |
| Object | full Arabic name of Ibn Khaldun |
—
|
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: full Arabic name of Ibn Khaldun | Statement: [Abu Zayd, namingComponentOf, full Arabic name of Ibn Khaldun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingComponentOf Context triple: [Abu Zayd, namingComponentOf, full Arabic name of Ibn Khaldun]
-
A.
isComponentOfNameOf
chosen
Indicates that one entity is the name of a component or part belonging to another entity.
-
B.
componentNameLanguage
Indicates that a component’s name is expressed or recorded in a specific language.
-
C.
codenameComponent
Indicates that one entity serves as the codename or code-designation assigned to another entity as its component or identifying label.
-
D.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
-
E.
designationComponent
Indicates that one entity functions as a component or constituent part of another entity’s designation or formal naming.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e62d5c81909134e30a6d0f2e20 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.