Triple
T15823248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Embera language |
E383664
|
entity |
| Predicate | vitalityConcern |
P65850
|
FINISHED |
| Object | subject to language shift toward Spanish in some communities |
—
|
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: subject to language shift toward Spanish in some communities | Statement: [Northern Embera language, vitalityConcern, subject to language shift toward Spanish in some communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vitalityConcern Context triple: [Northern Embera language, vitalityConcern, subject to language shift toward Spanish in some communities]
-
A.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
B.
concernsProblem
chosen
Indicates that something is about, related to, or deals with a particular problem or issue.
-
C.
concernsMeasure
Indicates that something is about or relates specifically to a particular quantitative measure or measurement.
-
D.
concernsTitle
Indicates that something is about or relates specifically to a particular title (such as a name, designation, or formal heading).
-
E.
concern
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a96b848190845cf547034a24f2 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.