Triple
T28627660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Wikibooks |
E724564
|
entity |
| Predicate | hasInterlanguageLinkTo |
P82626
|
FINISHED |
| Object | English Wikibooks |
—
|
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: English Wikibooks | Statement: [German Wikibooks, hasInterlanguageLinkTo, English Wikibooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterlanguageLinkTo Context triple: [German Wikibooks, hasInterlanguageLinkTo, English Wikibooks]
-
A.
usesInterwikiLinks
chosen
Indicates that one entity includes or relies on interwiki links to reference or connect to content in other wikis.
-
B.
hasInternationalLink
Indicates that there exists a connection or association between entities that crosses national boundaries or involves multiple countries.
-
C.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
-
D.
linkedToLanguage
Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
-
E.
hasExternalLink
Indicates that an entity is associated with a hyperlink pointing to a resource outside the current system or 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_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 28, 2026, 4:36 a.m.