Triple
T36636019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratchadaphisek Road |
E904465
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Bangkok |
C64653
|
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 Bangkok Context triple: [Ratchadaphisek Road, instanceOf, street in Bangkok]
-
A.
road in Thailand
A road in Thailand is a public transportation route, ranging from major highways to local streets, designed for vehicular and pedestrian travel and shaped by the country’s tropical climate, traffic patterns, and cultural context.
-
B.
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.
-
C.
street in Taipei
A street in Taipei is a public urban thoroughfare lined with a dense mix of shops, food stalls, residences, and scooters, reflecting the city’s vibrant, fast-paced, and culturally rich everyday life.
-
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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:11 p.m.