Triple
T26649372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodlands Avenue 3 |
E669008
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Singapore |
C51866
|
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 Singapore Context triple: [Woodlands Avenue 3, instanceOf, street in Singapore]
-
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.
Town in Singapore
A Town in Singapore is a planned urban area comprising residential neighborhoods, commercial centers, and community facilities, administered by a town council and designed to provide a self-contained living environment for its residents.
-
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.
street in Melbourne
A street in Melbourne is a public urban thoroughfare within the city’s grid or suburban layout, lined with a mix of residential, commercial, and cultural buildings, and shaped by the city’s distinctive tram network, laneways, and diverse neighborhoods.
-
E.
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.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 27, 2026, 2:32 a.m.