Triple
T23099581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa e Silva Bridge |
E575988
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Lago Sul |
—
|
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: Lago Sul | Statement: [Costa e Silva Bridge, connects, Lago Sul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lago Sul Context triple: [Costa e Silva Bridge, connects, Lago Sul]
-
A.
Lago Sul
chosen
Lago Sul is an affluent residential region of Brasília, Brazil, known for its upscale homes, embassies, and scenic views over Paranoá Lake.
-
B.
Lago Dorado
Lago Dorado is the central lake around which Disney’s Coronado Springs Resort is built, serving as a scenic focal point for the property.
-
C.
Lago Toro
Lago Toro is a scenic mountain lake located within Chile’s Huerquehue National Park, known for its forested surroundings and hiking access.
-
D.
Lago Cecita
Lago Cecita is an artificial mountain lake and major reservoir located in the Sila plateau of Calabria, southern Italy.
-
E.
Gutiérrez Lake
Gutiérrez Lake is a glacial Andean lake in Argentina’s Patagonia region, known for its clear waters, surrounding forests, and outdoor recreation opportunities near Bariloche.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de81060819084ab618f05aae583 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.