Triple
T16095608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane |
E390474
|
entity |
| Predicate | belongsToLanguageFamilyOfEthnonym |
P107565
|
FINISHED |
| Object | Germanic languages |
—
|
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: Germanic languages | Statement: [Dane, belongsToLanguageFamilyOfEthnonym, Germanic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToLanguageFamilyOfEthnonym Context triple: [Dane, belongsToLanguageFamilyOfEthnonym, Germanic languages]
-
A.
ethnonymLanguageFamily
chosen
Indicates a relationship where an ethnonym is associated with the language family traditionally spoken or linked to that ethnic group.
-
B.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
C.
sharesLinguisticFamilyWith
Indicates that two languages belong to the same linguistic family or branch within a language family.
-
D.
areOfficialLanguageFamilyOf
Indicates that one or more language families hold official status within, or are formally recognized as official for, a particular entity (such as a country or region).
-
E.
hasEthnonymCountry
Indicates that an ethnonym (a name for an ethnic group or people) is associated with or pertains to a specific country.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.