Triple
T16958358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ijoid |
E411361
|
entity |
| Predicate | languageEndangermentIssue |
P39119
|
FINISHED |
| Object | some Ijoid languages are endangered |
—
|
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: some Ijoid languages are endangered | Statement: [Ijoid, languageEndangermentIssue, some Ijoid languages are endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageEndangermentIssue Context triple: [Ijoid, languageEndangermentIssue, some Ijoid languages are endangered]
-
A.
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.
-
B.
languageEndangermentFactors
Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
-
C.
includesEndangeredLanguages
chosen
Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
-
D.
languageEndangermentStatus
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
-
E.
languageOfIssue
Indicates the language in which a particular item, document, or resource is issued or published.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01e420881909be1d93d7d6772fd |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.