Triple
T14673592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petrella Salto |
E344576
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Salto |
E352150
|
NE 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: Lake Salto | Statement: [Petrella Salto, locatedNear, Lake Salto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Salto Context triple: [Petrella Salto, locatedNear, Lake Salto]
-
A.
Lake Salto
chosen
Lake Salto is an artificial reservoir in central Italy, known as the largest lake in the Lazio region and a popular spot for fishing and outdoor recreation.
-
B.
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.
-
C.
Lago Sul
Lago Sul is an affluent residential region of Brasília, Brazil, known for its upscale homes, embassies, and scenic views over Paranoá Lake.
-
D.
Lago Toro
Lago Toro is a scenic mountain lake located within Chile’s Huerquehue National Park, known for its forested surroundings and hiking access.
-
E.
Pilarcitos Lake
Pilarcitos Lake is a man-made reservoir on the San Francisco Peninsula that stores water as part of the region’s municipal supply system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cde041081908ae2f2c75a9d5eb2 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:27 a.m.