Triple
T37963072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Nacional do Calçado |
E947057
|
entity |
| Predicate | região |
P64798
|
FINISHED |
| Object | Região Sul do Brasil |
—
|
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: Região Sul do Brasil | Statement: [Capital Nacional do Calçado, região, Região Sul do Brasil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: região Context triple: [Capital Nacional do Calçado, região, Região Sul do Brasil]
-
A.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
B.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
missionRegion
Indicates the geographic or administrative region in which a mission is carried out or assigned.
-
D.
subnationalRegion
Indicates that one region is a subdivision or administrative part of a larger nation or country.
-
E.
áreaGeográfica
Indicates a relationship where an entity is associated with, located in, or defined by a specific geographic area or region.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.