Triple
T27242482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baniva |
E687244
|
entity |
| Predicate | countryStatusInBrazil |
P33447
|
FINISHED |
| Object | Indigenous 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: Indigenous language | Statement: [Baniva, countryStatusInBrazil, Indigenous language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInBrazil Context triple: [Baniva, countryStatusInBrazil, Indigenous language]
-
A.
statusInBrazil
Indicates the legal, social, or operational status that an entity holds specifically within the context of Brazil.
-
B.
BrazilNeededResult
Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
-
C.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
D.
countryNamePortuguese
Indicates the Portuguese-language name assigned to a given country.
-
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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 27, 2026, 10:38 a.m.