Triple
T25697782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melhagi |
E644371
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Reykjavík |
C50652
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: street in Reykjavík Context triple: [Melhagi, instanceOf, street in Reykjavík]
-
A.
district of Reykjavík
A district of Reykjavík is an administrative and geographical subdivision of Iceland’s capital city, encompassing specific neighborhoods, services, and local governance functions within its defined area.
-
B.
street in Riga
A street in Riga is a public urban thoroughfare within Latvia’s capital city, typically lined with a mix of historic and modern buildings, and serving as a route for pedestrian and vehicular traffic as well as local commerce and social activity.
-
C.
street in Lisbon
A street in Lisbon is a public urban thoroughfare, often narrow and winding, lined with historic buildings, tiled facades, and calçada portuguesa pavements that connect neighborhoods and support pedestrian and vehicular movement.
-
D.
street in Beijing
A street in Beijing is a public urban thoroughfare lined with a mix of traditional and modern buildings, bustling with pedestrians, cyclists, and vehicles, and often featuring shops, food stalls, and cultural landmarks.
-
E.
street in Seoul
A street in Seoul is a public urban thoroughfare lined with a dense mix of shops, cafes, high-rise buildings, and cultural landmarks, often bustling with pedestrians, traffic, and vibrant city life.
- F. None of above. chosen
Provenance (1 batch)
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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 8:39 p.m.