Triple
T22644177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron of Rio Branco |
E558911
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Paranhos |
—
|
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: Paranhos | Statement: [Baron of Rio Branco, familyName, Paranhos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paranhos Context triple: [Baron of Rio Branco, familyName, Paranhos]
-
A.
Paranhos
chosen
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
-
B.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
C.
Selvíria
Selvíria is a municipality in the state of Mato Grosso do Sul, Brazil, known for its agricultural activities and proximity to the Paraná River.
-
D.
Parecís
Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
-
E.
Marromeu
Marromeu is a town and district in central Mozambique known for its location along the Zambezi River and proximity to the Marromeu Buffalo Reserve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170366ac881909e9d1dd2e7cf7a25 |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.