Triple
T14801021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathari |
E347908
|
entity |
| Predicate | endangeredLanguageCategory |
P13442
|
FINISHED |
| Object | critically endangered 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: critically endangered language | Statement: [Bathari, endangeredLanguageCategory, critically endangered language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endangeredLanguageCategory Context triple: [Bathari, endangeredLanguageCategory, critically endangered language]
-
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.
includesEndangeredLanguages
Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
-
C.
languageEndangermentFactors
Indicates the various social, political, economic, and cultural conditions that contribute to a language becoming vulnerable, endangered, or extinct.
-
D.
languageEndangermentStatus
chosen
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
-
E.
endangeredLanguageSpeakerOf
Indicates that a person speaks a language that is classified as endangered.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.