Triple
T24161937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainha da Borborema |
E598862
|
entity |
| Predicate | regiaoGeografica |
P64798
|
FINISHED |
| Object | Nordeste do Brasil |
—
|
NE NERFINISHED |
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: Nordeste do Brasil | Statement: [Rainha da Borborema, regiaoGeografica, Nordeste do Brasil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regiaoGeografica Context triple: [Rainha da Borborema, regiaoGeografica, Nordeste do Brasil]
-
A.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
B.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
longitudeRegion
Indicates that an entity is located within or associated with a specific longitudinal region on the Earth’s surface.
-
D.
subnationalRegion
Indicates that one region is a subdivision or administrative part of a larger nation or country.
-
E.
geographicDivision
Indicates that one place is an administrative or territorial subdivision of another place.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e9cd6c81908c33242f19fcc034 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:32 p.m.