Triple
T25680831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tariano |
E643933
|
entity |
| Predicate | hasLanguageEndangermentCause |
P106049
|
FINISHED |
| Object | language shift to Tucano |
—
|
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: language shift to Tucano | Statement: [Tariano, hasLanguageEndangermentCause, language shift to Tucano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageEndangermentCause Context triple: [Tariano, hasLanguageEndangermentCause, language shift to Tucano]
-
A.
languageEndangermentFactors
Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
-
B.
endangeredLanguage
Indicates that a language is at risk of falling out of use and potentially becoming extinct due to having too few active speakers or insufficient intergenerational transmission.
-
C.
isEndangeredDueTo
chosen
Indicates that an entity is endangered as a result of the specific cause or factor represented by the related entity.
-
D.
includesEndangeredLanguages
Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
-
E.
languageEndangermentStatus
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 21, 2026, 7:58 p.m.