Triple
T9480348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedmont |
E228618
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Maggiore |
E104775
|
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 Maggiore | Statement: [Piedmont, hasLake, Lake Maggiore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Maggiore Context triple: [Piedmont, hasLake, Lake Maggiore]
-
A.
Lake Maggiore
chosen
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 Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
C.
Lake Iseo
Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
-
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 Lugano
Lake Lugano is a glacial lake in the southern Alps, straddling the border between Switzerland and Italy and known for its picturesque scenery and lakeside 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bf604d4819092fc25f487866834 |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:54 p.m.