Triple
T26051655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajaji Salai |
E647993
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in Chennai |
C50183
|
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 Chennai Context triple: [Rajaji Salai, instanceOf, road in Chennai]
-
A.
road in Sri Lanka
A road in Sri Lanka is a public transportation route, ranging from major paved highways to narrow rural lanes, that connects cities, towns, and villages across the island and supports vehicular, pedestrian, and sometimes animal-drawn traffic.
-
B.
road in West Bengal
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.
-
C.
road in Madhya Pradesh
A road in Madhya Pradesh is a transportation route—ranging from national highways to rural village paths—that connects cities, towns, and villages across the central Indian state, supporting movement of people, goods, and services.
-
D.
road in Metro Manila
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.
-
E.
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.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 22, 2026, 9:11 a.m.