Triple
T32846067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagoa Mirim |
E840100
|
entity |
| Predicate | borderFormedWith |
P224
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [Lagoa Mirim, borderFormedWith, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderFormedWith Context triple: [Lagoa Mirim, borderFormedWith, Brazil]
-
A.
borderCultureWith
Indicates that two regions or entities share a common boundary across which cultural traits, practices, or influences are actively exchanged or intertwined.
-
B.
borderedBy
chosen
Indicates that one entity shares a common boundary or edge with another entity.
-
C.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
D.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
E.
borderEstablished
Indicates that a formal boundary between two geographic or political entities has been officially defined and put into effect.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1:16 a.m.