Triple
T1655036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa d’Este |
E35778
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Lake Como |
E5575
|
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 Como | Statement: [Villa d’Este, locatedOn, Lake Como]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Como Context triple: [Villa d’Este, locatedOn, Lake Como]
-
A.
Lake Maggiore
Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
-
B.
Lake Como, Italy
chosen
Lake Como, Italy is a picturesque glacial lake in northern Italy renowned for its dramatic alpine scenery, historic villas, and status as a luxury retreat for celebrities and travelers.
-
C.
Lake Gardno
Lake Gardno is a coastal lake in northern Poland known for its location within the Słowiński National Park and its proximity to the Baltic Sea.
-
D.
Lake Geneva
Lake Geneva is a large crescent-shaped lake on the north side of the Alps, shared by Switzerland and France and renowned for its scenic beauty and surrounding cities like Geneva and Lausanne.
-
E.
Lake Garda
Lake Garda is Italy’s largest lake, renowned for its picturesque alpine scenery, mild climate, and popular resort towns.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a8b597c81908a62b41718d85df6 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1ac4b9c8190a7d0fa610a77f9c3 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:29 p.m.