Triple
T23064907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennon Road |
E575008
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in the Philippines |
C40588
|
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: road in the Philippines Context triple: [Kennon Road, instanceOf, road in the Philippines]
-
A.
road in Metro Manila
chosen
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.
-
B.
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.
-
C.
road in Guam
A road in Guam is a paved or unpaved transportation route on the island that connects towns, villages, and key locations, accommodating vehicles and sometimes pedestrians within Guam’s tropical, coastal, and often hilly terrain.
-
D.
road in Japan
A road in Japan is a public or private paved or unpaved route designed for vehicular and pedestrian travel, characterized by Japan-specific regulations, signage, and infrastructure standards.
-
E.
road in Vietnam
A road in Vietnam is a public transportation route, ranging from narrow village paths to multi-lane highways, that connects urban and rural areas and supports a mix of motorbikes, cars, buses, and local street activity.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 3:55 p.m.