Triple
T25108752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahrah-e-Quaideen |
E628934
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Karachi |
C49449
|
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 Karachi Context triple: [Shahrah-e-Quaideen, instanceOf, street in Karachi]
-
A.
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.
-
B.
street in Quezon City
A street in Quezon City is a public roadway within the city’s jurisdiction that facilitates vehicular and pedestrian movement while connecting residential, commercial, and institutional areas.
-
C.
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.
-
D.
road in Jakarta
A road in Jakarta is a public transportation corridor within the city’s dense urban network, accommodating mixed traffic—from cars and motorcycles to buses and informal transport—while connecting residential, commercial, and industrial areas amid frequent congestion and diverse street-side activities.
-
E.
road in Metro Manila
A road in Metro Manila is a public thoroughfare—ranging from narrow side streets to major arterial highways—used for vehicular and pedestrian movement within the highly urbanized and densely populated metropolitan area.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
Created at: April 18, 2026, 6:26 a.m.