Triple
T20290503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puntiagudo Volcano |
E510006
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rupanco Lake |
—
|
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: Rupanco Lake | Statement: [Puntiagudo Volcano, near, Rupanco Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupanco Lake Context triple: [Puntiagudo Volcano, near, Rupanco Lake]
-
A.
Rupanco Lake
chosen
Rupanco Lake is a scenic glacial lake in Chile’s Los Lagos Region, known for its clear waters, surrounding volcanoes, and popularity for fishing and outdoor recreation.
-
B.
Piva Lake
Piva Lake is an artificial mountain reservoir in Montenegro, renowned for its striking turquoise waters and dramatic canyon scenery.
-
C.
Slano Lake
Slano Lake is an artificial reservoir near Nikšić in Montenegro, known for its rugged karst landscape and use in hydroelectric power production.
-
D.
Bovansko Lake
Bovansko Lake is an artificial reservoir in eastern Serbia known for its recreational opportunities such as swimming, fishing, and camping.
-
E.
Lake Silvaplana
Lake Silvaplana is a scenic alpine lake in Switzerland’s Upper Engadine region, renowned for its windsurfing, kitesurfing, and picturesque mountain surroundings.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67695d4d48190b932317d37aa95d9 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:12 a.m.