Triple
T34094496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strand Road, Kolkata |
E874387
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Kolkata |
C50023
|
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 Kolkata Context triple: [Strand Road, Kolkata, instanceOf, street in Kolkata]
-
A.
road in West Bengal
chosen
A road in West Bengal is a transportation route—ranging from village lanes to national highways—that connects urban and rural areas across the state, supporting movement of people, goods, and services within its diverse geographic and cultural landscape.
-
B.
Kolkata Metro station
A Kolkata Metro station is a designated transit facility along the Kolkata Metro network that provides platforms, ticketing, passenger amenities, and access points for boarding and alighting metro trains within the city and its suburbs.
-
C.
street in Karachi
A street in Karachi is a public urban thoroughfare within the city of Karachi, typically lined with a mix of residential, commercial, and informal structures, and characterized by heavy traffic, diverse vendors, and vibrant pedestrian activity.
-
D.
street in Singapore
A street in Singapore is a public urban thoroughfare that supports vehicular and pedestrian movement while reflecting the city-state’s dense, tropical, and multicultural environment through its infrastructure, landscaping, and surrounding architecture.
-
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.
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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:52 a.m.