Triple
T29516506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Wikipedia |
E748810
|
entity |
| Predicate | isLargestEditionOf |
P166988
|
FINISHED |
| Object | Wikipedia by article count |
—
|
NE NERFINISHED |
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: Wikipedia by article count | Statement: [English Wikipedia, isLargestEditionOf, Wikipedia by article count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestEditionOf Context triple: [English Wikipedia, isLargestEditionOf, Wikipedia by article count]
-
A.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
B.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
C.
isAnnualEditionOf
Indicates that one entity is a specific yearly edition or version of another, typically recurring publication or event.
-
D.
isStandardEditionOf
Indicates that one entity is the regular, non-special version of another entity, typically lacking extra features, content, or enhancements found in other editions.
-
E.
isLargestLibraryOf
Indicates that one library is the largest (by a specified measure, such as collection size or area) among a defined group or within a particular context.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c636f908190baa9787a988958af |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:37 p.m.