Triple
T3242317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Bolsena |
E67989
|
entity |
| Predicate | hasShore |
P969
|
FINISHED |
| Object | Bolsena |
E67989
|
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: Bolsena | Statement: [Lake Bolsena, hasShore, Bolsena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolsena Context triple: [Lake Bolsena, hasShore, Bolsena]
-
A.
Fiumelatte
Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
-
B.
Lake Bolsena
chosen
Lake Bolsena is a large volcanic crater lake in central Italy, renowned for its clear waters, scenic surroundings, and historical lakeside towns.
-
C.
Capolago
Capolago is a village in the canton of Ticino in southern Switzerland, located on the shore of Lake Lugano near the Italian border.
-
D.
Cesenatico
Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
-
E.
Serravalle
Serravalle is the most populous municipality of San Marino, known for its commercial centers and proximity to the Italian border.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf17463481909447f6ab46016407 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e82f91788190a9b14613eab7a439 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:08 p.m.