Triple
T24091400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayabí |
E596792
|
entity |
| Predicate | hasStatusInBrazil |
P33447
|
FINISHED |
| Object | indigenous language without nationwide official status |
—
|
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: indigenous language without nationwide official status | Statement: [Kayabí, hasStatusInBrazil, indigenous language without nationwide official status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatusInBrazil Context triple: [Kayabí, hasStatusInBrazil, indigenous language without nationwide official status]
-
A.
BrazilNeededResult
Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
-
B.
hasNationalStatus
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
-
C.
legalStatusInPortugal
Indicates the legal status or classification that an entity holds specifically within the jurisdiction of Portugal.
-
D.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
E.
countrySpecificStatus
chosen
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2e672c8190b3e4be041835cc27 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:53 p.m.