Triple
T15100485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Dalecarlia |
E360649
|
entity |
| Predicate | currentLanguageSituation |
P117322
|
FINISHED |
| Object | Övdalian endangered |
—
|
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: Övdalian endangered | Statement: [Upper Dalecarlia, currentLanguageSituation, Övdalian endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLanguageSituation Context triple: [Upper Dalecarlia, currentLanguageSituation, Övdalian endangered]
-
A.
currentLanguageOfServices
Indicates that a specified language is the one presently used to provide or deliver certain services.
-
B.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
-
C.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
D.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
E.
languageStatusSource
Indicates the source or authority from which the information about a language’s status is derived.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:04 a.m.