Triple
T2115215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England–Wales border |
E42593
|
entity |
| Predicate | hasLanguageBoundaryAspect |
P17190
|
FINISHED |
| Object | English–Welsh linguistic divide |
—
|
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: English–Welsh linguistic divide | Statement: [England–Wales border, hasLanguageBoundaryAspect, English–Welsh linguistic divide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageBoundaryAspect Context triple: [England–Wales border, hasLanguageBoundaryAspect, English–Welsh linguistic divide]
-
A.
hasConceptualBoundary
Indicates that one entity defines, marks, or establishes the abstract limit or scope of another entity’s meaning, applicability, or conceptual extent.
-
B.
languageBorderInvolved
chosen
Indicates that a situation, event, or relationship involves or is affected by a boundary between different languages or linguistic communities.
-
C.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
D.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
E.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0724e08190a0a4210d86261d6d |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.