Triple
T38699390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bom Retiro do Sul |
E950093
|
entity |
| Predicate | isLocatedInSouthernBrazil |
P161618
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bom Retiro do Sul, isLocatedInSouthernBrazil, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInSouthernBrazil Context triple: [Bom Retiro do Sul, isLocatedInSouthernBrazil, true]
-
A.
locatedInMesoregion
Indicates that an entity is geographically situated within a specific mesoregion.
-
B.
isOnSouthernPartOf
Indicates that one entity is located on the southern part or southern region of another entity.
-
C.
locatedInTheSouthernPartOf
chosen
Indicates that one entity is situated within the southern portion or region of another entity.
-
D.
locatedInCountrySouth
Indicates that the subject entity is geographically situated within a country that lies in the southern part of the world or a specified southern region.
-
E.
mainAreaInBrazil
Indicates that a given area or region is the primary or most significant area located within Brazil for a specified entity or context.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:33 p.m.