Triple
T2957369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cora |
E79964
|
entity |
| Predicate | languageEndangermentFactors |
P45185
|
FINISHED |
| Object | shift to Spanish |
—
|
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: shift to Spanish | Statement: [Cora, languageEndangermentFactors, shift to Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageEndangermentFactors Context triple: [Cora, languageEndangermentFactors, shift to Spanish]
-
A.
languageEndangermentStatus
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
-
B.
includesEndangeredLanguages
Indicates that the subject contains, encompasses, or otherwise involves one or more languages classified as endangered.
-
C.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
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.
linguisticIsolation
Indicates a condition where an entity is separated from others in terms of language, lacking shared or effective linguistic communication.
- F. None of above. chosen
Provenance (4 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.