Triple
T2822628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongo |
E54844
|
entity |
| Predicate | tourismAttraction |
P530
|
FINISHED |
| Object | Lake Como waterfront |
E5575
|
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: Lake Como waterfront | Statement: [Dongo, tourismAttraction, Lake Como waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Como waterfront Context triple: [Dongo, tourismAttraction, Lake Como waterfront]
-
A.
Lake Como, Italy
chosen
Lake Como, Italy is a picturesque glacial lake in northern Italy renowned for its dramatic alpine scenery, historic villas, and status as a luxury retreat for celebrities and travelers.
-
B.
Fox River waterfront
The Fox River waterfront in Geneva, Illinois is a scenic riverfront area featuring parks, trails, and recreational spaces that serve as a central attraction for residents and visitors.
-
C.
Rio Lakefront
Rio Lakefront is a mixed-use waterfront shopping, dining, and entertainment destination in Gaithersburg, Maryland.
-
D.
Chicago Lakefront
Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
-
E.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.