Triple
T7246507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To a Louse |
E156482
|
entity |
| Predicate | originalLanguageVariant |
P5477
|
FINISHED |
| Object | Scots dialect of English |
—
|
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: Scots dialect of English | Statement: [To a Louse, originalLanguageVariant, Scots dialect of English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageVariant Context triple: [To a Louse, originalLanguageVariant, Scots dialect of English]
-
A.
originalPublicationLanguageVariant
chosen
Indicates that one language is a specific variant or version of the language in which a work was originally published.
-
B.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
C.
originalLanguageSupport
Indicates that one entity provides or maintains functionality, content, or interaction in the original language of another entity.
-
D.
originalLanguageContext
Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
-
E.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea5a8bbc8190bf16747dbdd65ce8 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.