Triple
T28629378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic Wikipedia |
E724601
|
entity |
| Predicate | mobileDomain |
P60634
|
FINISHED |
| Object | https://ar.m.wikipedia.org |
—
|
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: https://ar.m.wikipedia.org | Statement: [Arabic Wikipedia, mobileDomain, https://ar.m.wikipedia.org]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobileDomain Context triple: [Arabic Wikipedia, mobileDomain, https://ar.m.wikipedia.org]
-
A.
inputDomain
Indicates that a function, process, or system accepts inputs belonging to a specified domain or set of allowable values.
-
B.
publicDomain
Indicates that a work or resource is not protected by intellectual property rights and is freely available for anyone to use, copy, modify, and distribute without restriction.
-
C.
typicalDomain
Indicates that one entity is the characteristic or most common domain, context, or area of application in which another entity typically occurs or is used.
-
D.
domainServed
chosen
Indicates that a particular domain or area is supported, covered, or provided for by a given entity or service.
-
E.
exampleDomain
Indicates a general or illustrative relationship used as a placeholder within a specific conceptual or application domain.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 4:37 a.m.