Triple
T19123111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lago di Piediluco |
E468099
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Marmore Falls |
—
|
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: Marmore Falls | Statement: [Lago di Piediluco, locatedNear, Marmore Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marmore Falls Context triple: [Lago di Piediluco, locatedNear, Marmore Falls]
-
A.
Marmore Falls
chosen
Marmore Falls is a famous man-made waterfall in Umbria, Italy, known for its impressive height and scenic beauty.
-
B.
Lodore Falls
Lodore Falls is a picturesque waterfall located along the National Pass walking track in the Blue Mountains of New South Wales, Australia.
-
C.
Bridal Veil Falls
Bridal Veil Falls is a scenic waterfall near Billings, Montana, known for its delicate, veil-like cascade and popularity as a local hiking and sightseeing destination.
-
D.
Bridal Veil Falls
Bridal Veil Falls is a picturesque waterfall on Manitoulin Island in Ontario, Canada, known for its curtain-like cascade and popular swimming and hiking area.
-
E.
Bridal Veil Falls
Bridal Veil Falls is a scenic multi-tiered waterfall in Utah’s Wasatch Range, popular for sightseeing, photography, and outdoor recreation.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cae37c81908692c7f83671229f |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.