Triple
T9907037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Annone |
E185036
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Oggiono |
E767510
|
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: Oggiono | Statement: [Lake Annone, nearbySettlement, Oggiono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oggiono Context triple: [Lake Annone, nearbySettlement, Oggiono]
-
A.
Oggiono
chosen
Oggiono is a small town and municipality in the Lombardy region of northern Italy, known for its scenic lakeside setting and proximity to the Alps.
-
B.
Gargnano
Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
-
C.
Pandino
Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
-
D.
Cortabbio
Cortabbio is a small locality or hamlet that forms part of the municipality of Esino Lario in northern Italy.
-
E.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2578390888190b60f3962aec37b2d |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:41 p.m.