Triple
T12521520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sila |
E299329
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Ampollino |
E878335
|
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 Ampollino | Statement: [Sila, hasLake, Lake Ampollino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Ampollino Context triple: [Sila, hasLake, Lake Ampollino]
-
A.
Lago Ampollino
chosen
Lago Ampollino is an artificial mountain lake in Italy’s Sila plateau, known for its scenic pine-forested surroundings and role in regional hydroelectric power and recreation.
-
B.
Lake Pusiano
Lake Pusiano is a small glacial lake in northern Italy’s Lombardy region, known for its scenic surroundings, rich birdlife, and recreational fishing and boating.
-
C.
Lake Chiusi
Lake Chiusi is a small freshwater lake in Tuscany, central Italy, known for its tranquil rural setting and importance as a habitat for migratory birds.
-
D.
Lago Pellegrini
Lago Pellegrini is an artificial lake in Argentina’s Río Negro Province, known for irrigation, fishing, and recreational tourism in the Patagonian region.
-
E.
Idroscalo Lake
Idroscalo Lake is an artificial basin and popular recreational area near Milan, Italy, known for water sports, rowing events, and lakeside leisure activities.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eae71fc819083ec63dbfbf32465 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.