Triple
T28629329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Wikisource |
E724600
|
entity |
| Predicate | isPartOfWebsite |
P69
|
FINISHED |
| Object | https://www.wikimedia.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://www.wikimedia.org | Statement: [Dutch Wikisource, isPartOfWebsite, https://www.wikimedia.org]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfWebsite Context triple: [Dutch Wikisource, isPartOfWebsite, https://www.wikimedia.org]
-
A.
website
chosen
Indicates that one entity is the official website or web presence associated with another entity.
-
B.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
C.
hasCompanionWebsite
Indicates that something is associated with or supported by a dedicated companion website.
-
D.
site
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
E.
typeOfSite
Indicates the specific category or kind of site that an entity is classified as.
- 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_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 28, 2026, 4:37 a.m.