Triple
T12171051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottoway language |
E289964
|
entity |
| Predicate | languageEndangermentStage |
P13442
|
FINISHED |
| Object | extinct (no L1 speakers) |
—
|
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 (no L1 speakers) | Statement: [Nottoway language, languageEndangermentStage, extinct (no L1 speakers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageEndangermentStage Context triple: [Nottoway language, languageEndangermentStage, extinct (no L1 speakers)]
-
A.
languageEndangermentStatus
chosen
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
-
B.
languageEndangermentFactors
Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
-
C.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
D.
ISO639_3Status
Indicates the classification or status assigned to a language according to the ISO 639-3 standard (e.g., active, extinct, historical, constructed).
-
E.
basedOnLanguageStage
Indicates that something is determined, classified, or derived according to a particular stage or level of language development or proficiency.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.