Triple
T32177584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TN-01 |
E821895
|
entity |
| Predicate | locatedInStateTransportDepartment |
—
|
GENERATED |
| Object | Tamil Nadu Transport Department |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInStateTransportDepartment Context triple: [TN-01, locatedInStateTransportDepartment, Tamil Nadu Transport Department]
-
A.
stateAgencyOf
Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
-
B.
locatedInStateOrRegion
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
C.
regionalLocationWithinState
Indicates that one region is geographically located within the boundaries of a specific state.
-
D.
provinceAgency
Indicates that one entity functions as an official agency or administrative body operating at the provincial level in relation to another entity.
-
E.
hasHighwayDepartment
chosen
Indicates that an entity is served by, administered by, or associated with a specific highway department responsible for road and highway management.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:34 a.m.