Triple
T24143864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juruna |
E598318
|
entity |
| Predicate | statusInBrazil |
P155001
|
FINISHED |
| Object | recognized 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: recognized indigenous language | Statement: [Juruna, statusInBrazil, recognized indigenous language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInBrazil Context triple: [Juruna, statusInBrazil, recognized indigenous language]
-
A.
BrazilNeededResult
Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
-
B.
statusInChile
Indicates the legal, social, or operational status that an entity holds specifically within the context of Chile.
-
C.
roleInBrazil
Indicates that an entity holds or held a specific role, position, or function within the context of Brazil.
-
D.
statusInMexico
Indicates the legal or social status that an entity holds within the context of Mexico.
-
E.
statusInPeru
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Peru.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e008efbc8190ac6c12d3ba5dd5d8 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:29 p.m.