Triple
T11390406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicily–Italian Peninsula |
E269819
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Mount Etna |
E54389
|
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: Mount Etna | Statement: [Sicily–Italian Peninsula, hasLandmark, Mount Etna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Etna Context triple: [Sicily–Italian Peninsula, hasLandmark, Mount Etna]
-
A.
Mount Etna
chosen
Mount Etna is an active stratovolcano on the east coast of Sicily and one of the most active and iconic volcanoes in the world.
-
B.
Etna
Etna is a river in Innlandet county, Norway, known for flowing through the Etnedal valley before emptying into the large lake Randsfjorden.
-
C.
Parco dell'Etna
Parco dell'Etna is a regional park in Sicily that safeguards the natural landscapes, volcanic features, and biodiversity surrounding Mount Etna.
-
D.
Roè Volciano
Roè Volciano is a municipality in the province of Brescia in Lombardy, northern Italy, situated near Lake Garda.
-
E.
Monte San Clemente
Monte San Clemente is an alternative name for Monte San Valentín, the highest peak in Chilean Patagonia and a prominent mountain in the Northern Patagonian Ice Field.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62442905881909c5228a58d9dea3d |
completed | April 20, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:34 p.m.