Triple
T35251590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Highway 20 (Tamil Nadu) |
E1018106
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in Tamil Nadu |
C64021
|
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 Tamil Nadu Context triple: [State Highway 20 (Tamil Nadu), instanceOf, road in Tamil Nadu]
-
A.
road in Chennai
A road in Chennai is a vehicular and pedestrian transportation corridor within the city’s urban fabric, shaped by local traffic patterns, climate, and surrounding land use.
-
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 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.
-
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.