Triple
T8984724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varese |
E214629
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object | Lake Comabbio |
E708030
|
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 Comabbio | Statement: [Varese, hasNearbyLake, Lake Comabbio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Comabbio Context triple: [Varese, hasNearbyLake, Lake Comabbio]
-
A.
Lake Comabbio
chosen
Lake Comabbio is a small glacial lake in northern Italy known for its natural wetlands, cycling path, and birdlife.
-
B.
Lake Jacomo
Lake Jacomo is a large recreational reservoir in Jackson County, Missouri, popular for boating, fishing, and outdoor activities within the Fleming Park area.
-
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.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
E.
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.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ecc5188190a6fb4d5456893121 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0475435808190a80d82b6614b1308 |
completed | April 3, 2026, 11:03 p.m. |
Created at: March 30, 2026, 7:03 p.m.