Triple
T28629143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Wikipedia |
E724595
|
entity |
| Predicate | hasMobileSite |
P66849
|
FINISHED |
| Object | https://nl.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://nl.m.wikipedia.org | Statement: [Dutch Wikipedia, hasMobileSite, https://nl.m.wikipedia.org]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMobileSite Context triple: [Dutch Wikipedia, hasMobileSite, https://nl.m.wikipedia.org]
-
A.
isMobile
Indicates that an entity is capable of moving or being moved freely rather than remaining fixed in one place.
-
B.
hasMobileOrder
Indicates that an entity has placed or is associated with a mobile-based order.
-
C.
isMobileBase
Indicates that an entity serves as a movable or mobile base or platform for other entities or operations.
-
D.
mobileVariant
chosen
Indicates that one entity is a mobile-specific version or adaptation of another entity.
-
E.
mobileFriendly
Indicates that something (typically a website, app, or interface) is designed to function and display well on mobile devices.
- 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 28, 2026, 4:37 a.m.