Triple
T17390470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oglio River |
E422806
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Lake Iseo |
—
|
NE NERFINISHED |
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 Iseo | Statement: [Oglio River, flowsThrough, Lake Iseo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Iseo Context triple: [Oglio River, flowsThrough, Lake Iseo]
-
A.
Lake Iseo
chosen
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.
-
B.
Iseo
Iseo is a picturesque town in northern Italy’s Lombardy region, known as a lakeside resort and gateway to the scenic Lake Iseo.
-
C.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
D.
Lake Garda
Lake Garda is Italy’s largest lake, renowned for its picturesque alpine scenery, mild climate, and popular resort towns.
-
E.
Lago di Patria
Lago di Patria is a coastal lake in the Campania region of southern Italy, known for its natural wetlands and proximity to the Tyrrhenian Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ab950d4819098d6a46f67c46191 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.