Triple
T21978936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milazzo |
E542781
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Stromboli |
—
|
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: Stromboli | Statement: [Milazzo, connectsTo, Stromboli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stromboli Context triple: [Milazzo, connectsTo, Stromboli]
-
A.
Stromboli
chosen
Stromboli is an active volcanic island in the Tyrrhenian Sea, famous for its frequent mild eruptions that have earned it the nickname "Lighthouse of the Mediterranean."
-
B.
Stromboli
Stromboli is the greedy, villainous puppeteer who exploits Pinocchio for profit in Disney’s animated film adaptation of the classic tale.
-
C.
Roè Volciano
Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
-
D.
Etna
Etna is a river in Innlandet county, Norway, known for flowing through the Etnedal valley before emptying into the large lake Randsfjorden.
-
E.
Etna
Etna is a small town in Penobscot County, Maine, known for its rural character and location along major regional roadways.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248bdd88819098bfeca550608f14 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.