Triple
T4158366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomo |
E91469
|
entity |
| Predicate | contemporaryLanguageStatus |
P20092
|
FINISHED |
| Object | several dialects 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: several dialects endangered | Statement: [Pomo, contemporaryLanguageStatus, several dialects endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporaryLanguageStatus Context triple: [Pomo, contemporaryLanguageStatus, several dialects endangered]
-
A.
extantLanguage
chosen
Indicates that a language currently exists or is in active use, as opposed to being extinct or only historically attested.
-
B.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
C.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
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.
sociolinguisticStatus
Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.