Triple
T22455918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catechisms in Old Prussian |
E555114
|
entity |
| Predicate | languageStatusDocumented |
P148269
|
FINISHED |
| Object | extinct language |
—
|
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: extinct language | Statement: [Catechisms in Old Prussian, languageStatusDocumented, extinct language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageStatusDocumented Context triple: [Catechisms in Old Prussian, languageStatusDocumented, extinct language]
-
A.
languageStatusSource
Indicates the source or authority from which the information about a language’s status is derived.
-
B.
languageFamilyDocumented
Indicates that there exists documentation or records describing the language family to which the entity’s language belongs.
-
C.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
D.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
E.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4f19708190a50f29598fb1a204 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.