Triple
T7508536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodlands |
E177455
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Town in Singapore |
C22486
|
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: Town in Singapore Context triple: [Woodlands, instanceOf, Town in Singapore]
-
A.
city in Malaysia
A city in Malaysia is an urban administrative area recognized by the federal or state government, typically characterized by dense population, developed infrastructure, and serving as a regional center for governance, commerce, culture, and services.
-
B.
city in Myanmar
A city in Myanmar is a large, administratively defined urban settlement within the country that serves as a center for population, governance, commerce, culture, and services for its surrounding region.
-
C.
Town in Bangladesh
A Town in Bangladesh is an urban settlement within the country’s administrative framework that serves as a local center for governance, commerce, services, and community life, typically smaller than a city but more developed than a rural village.
-
D.
city in the Philippines
A city in the Philippines is a legally defined, densely populated urban local government unit with its own elected officials, administrative autonomy, and jurisdiction over surrounding barangays within the Philippine political system.
-
E.
city in South Korea
A city in South Korea is an urban administrative division governed by local authorities, characterized by concentrated population, infrastructure, and economic, cultural, and social activities within the Republic of Korea.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
Created at: March 27, 2026, 3:45 p.m.