Triple
T4439842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adige |
E95742
|
entity |
| Predicate | knownAsInLanguage |
P37507
|
FINISHED |
| Object | Etsch in German |
—
|
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: Etsch in German | Statement: [Adige, knownAsInLanguage, Etsch in German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownAsInLanguage Context triple: [Adige, knownAsInLanguage, Etsch in German]
-
A.
languageCommonlyCalled
chosen
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
B.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
C.
knownAsOneOf
Indicates that an entity is recognized or referred to as one member of a specified set of alternative names, labels, or identities.
-
D.
alsoTranslatedAs
Indicates that something has an alternative translation or rendering in another language or form.
-
E.
knownAsInCanada
Indicates that an entity is referred to or recognized by a particular name specifically within the context of Canada.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.